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Microseismic monitoring of Vaca Muerta completions in the Neuquén Basin, Argentina

Authors:
  • Tecpetrol
  • MicroSeismic, Inc.
  • MicroSeismic, Inc.

Abstract and Figures

The Vaca Muerta shale oil play in Argentina's Neuquén Basin is expected to make a large contribution to Argentina's hydrocarbon production in the future. In 2013, the U.S. Energy Information Administration estimated that the Vaca Muerta had technically recoverable reserves of 308 Tcf gas and 16 billion bbl of oil and condensate, making it the third largest shale oil reservoir in the world at that time. Wintershall Energia has been active in the Neuquén Basin since 1994. In 2014, it acquired a controlling interest in the Aguada Federal block with an intention to exploit the Vaca Muerta oil shale occurrence within that block. At the outset of its development program, Wintershall decided to incorporate microseismic monitoring to help understand completions in the Vaca Muerta. Monitoring of the completion of vertical well AF.x-1 was accomplished with a surface array. The goal of the monitoring was to inform later decisions on horizontal wellbore direction, wellbore and stage spacing, and landing depth. Results of the surface array monitoring were also used in the design of a permanent buried array intended to monitor subsequent development wells. The buried array was installed in September 2016 and consists of 126 stations spread at an interval distance of approximately 500 m over an area of roughly 5 by 7 km. Each station has geophones placed over a depth range of 20 to 50 m subsurface. The first two horizontal development wells in the project, AF.x-4h and AF.x-9h, were completed in late December 2016 and early January 2017. The second set of two wells, AF.x-3h and AF.x-7h, was completed from May to June 2017. The 4h and the 7h were landed in the upper Middle Vaca Muerta while the 9h and 3h were drilled about 100 m deeper, landing still in the Middle Vaca Muerta. The lateral length of each well was approximately 1000 m, and each was completed with 11 plug-and-perf stages. Stage length and interval were varied along the wells to test various completion strategies. The completions of all four wells were successfully monitored using the buried array. These microseismic data provide a detailed description of the fracture network created by the treatments. Focal mechanisms determined for the detected events have been used to understand the stress distribution in the reservoir and to further refine the completion parameters for future development wells.
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262 THE LEADING EDGE April 2018 Special Section: Latin America
Microseismic monitoring of Vaca Muerta
completions in the Neuquén Basin, Argentina
Abstract
e Vaca Muerta shale oil play in Argentina’s Neuquén Basin
is ex pec ted to make a large cont rib ution to A rgent ina’s hydrocarbon
production in the future. In 2013, the U.S. Energy Information
Administration estimated that the Vaca Muerta had technically
recoverable reserves of 308 Tcf gas and 16 billion bbl of oil and
condensate, making it the third largest shale oil reservoir in the
world at that time. Wintershall Energia has been active in the
Neuquén Basin since 1994. In 2014, it acquired a controlling
interest in the Aguada Federal block with an intention to exploit
the Vaca Muerta oil shale occurrence within that block. At the
outset of its development program, Wintershall decided to incor-
porate microseismic monitoring to help understand completions
in the Vaca Muerta. Monitoring of the completion of vertical well
AF.x-1 was accomplished with a surface array. e goal of the
monitoring was to inform later decisions on horizontal wellbore
direction, wellbore and stage spacing, and landing depth. Results
of the surface array monitoring were also used in the design of a
permanent buried array intended to monitor subsequent develop-
ment wells. e buried array was installed in September 2016 and
consists of 126 stations spread at an interva l distance of approx i-
mately 500 m over an area of roughly 5 by 7 km. Each station has
geophones placed over a depth range of 20 to 50 m subsurface.
e first two horizontal development wells in the project, AF.x-4h
and AF.x-9h, were completed in late December 2016 and early
January 2017. e second set of two wells, AF.x-3h and AF.x-7h,
was completed from May to June 2017. e 4h and the 7h were
landed in the upper Middle Vaca Muerta while the 9h and 3h
were drilled about 100 m deeper, landing still in the Middle Vaca
Muerta. e lateral length of each well was approximately 1000 m,
and each was completed with 11 plug-and-perf stages. Stage
length and interval were varied along the wells to test various
completion strategies. e completions of all four wells were
successfully monitored using the buried array. ese microseismic
data provide a detailed description of the fracture network created
by the treatments. Focal mechanisms determined for the detected
ev ents have been use d to und erstand the st ress distr ibut ion in the
reservoir and to further refine the completion parameters for
future development wells.
Introduction
Oil and gas production in Argentina dates back to the early
1900 s af ter oil was discovered in 1907 near the city of Comodoro
Rivadavia, Chubut. In 2016, Argentina produced an average of
693,000 b/d of petroleum and other liquids (U.S. Energy Informa-
tion Administration [EIA], 2017) making it the world’s 26
th
largest producer. e Vaca Muerta shale oil play in Argentina’s
Neuquén Basin is expected to play an important role in future
David Curia1, Peter M. Duncan2, Michael Grealy2, Jon McKenna2, and Andrew Hill2
production. In 2013, the EIA (EIA, 2013) estimated that the
Vaca Muerta had technically recoverable reserves of 308 Tcf gas
and 16 billion bbl of oil and condensate making it the third largest
shale oil reservoir in the world at that time.
e Vaca Muerta is an Upper Jurassic to Lower Cretaceous
marine shale located in the Neuquén Basin on the eastern side of the
Andes in west-central Argentina (Figure 1). e formation outcrops
on the edges of the basin and reaches depths of approximately 2830 m
in the basin center with thicknesses ranging from 63 to 535 m. e
prospective area, including the oil-rich, condensate-rich, and dry gas
zones, is estimated to cover about 30,000 km2 (EIA, 2013).
Wintershall began its oil and gas activities in Argentina more
than 35 years ago and is the fourth largest producer. Wintershall
currently has an interest in 15 oil and gas fields in the country
and produces about 26 million BOE annually. Wintershall has
been active in the Neuquén Basin since 1994. In 2014, it acquired
1Wintershall Energia S.A.
2MicroSeismic Inc.
https://doi.org/10.1190/tle37040262.1.
Figure 1. Map showing the hydrocarbon-producing basins of Argentina with the
location of the Neuquén Basin noted.
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264 THE LEADING EDGE April 2018 Special Section: Latin America
a controlling interest in the Aguada
Federal block with an intention to
exploit the Vaca Muerta oil shale occur-
rence there.
In this article, we discuss the appli-
cation of microseismic monitoring of
both vertical and horizontal wells in
the early phases of exploration and
development of this play. In particular,
we discuss the steps that led to placing
a permanent life-of-field monitoring
array in the field, the results of monitor-
ing, and some of the initial conclusions
drawn from the data.
Early-stage field development
Wintershall’s development program
for the Aguada Federal block (Figure 2)
has been planned in four principal
project phases: (1) a technology phase
to reduce geologic uncertainty, prove
hydrocarbon flow from the reservoir,
and assess the resource with widely
spaced test wells; (2) a pilot phase to
reduce production uncertainty and to test well productivity and
effectiveness of hydraulic fracture well stimulation applied to
multiwell pads with closely spaced horizontal wells on predefined,
small acreages; (3) a predevelopment phase to reduce economic
uncertainty and demonstrate the project commerciality by continu-
ally reducing costs and increasing well productivity; and (4) a
development phase in which infill wells are completed in a manu-
facturing style mode designed to deplete the resource.
During the technical phase, Wintershall elected to monitor
the stimulation of the AF.x-1 vertical well as part of the play
as ses sment. e wel l was sti mul ated in Au gust 2 015 in fou r stages ,
penetrating the Upper, Middle, and Lower Vaca Muerta. Monitor-
ing was performed with a surface FracStar array as depicted in
Fi gure 3.  e results were su fficiently compel ling t hat Winte rshal l
continued with microseismic monitoring into the technical phase
of development. e completions of four horizontal wells, located
on the same pad as the AF.x-1, were monitored from December
2016 through June 2017. Monitoring of these wells was achieved
with a permanent buried array as pictured in Figure 3.
Microseismic monitoring well AF.x-1
Microseismic monitoring is a vital part of shale exploration
and development workflows. In fact, in the prolific Permian Basin
of Texas, seven of the top 10 operators on the Midland side have
integrated microseismic into their technology portfolio as have
five of the top 10 operators in the Delaware portion. (Per
Drillinginfo.com. Top operators are defined as highest average
peak BOEPD by basin. Data for seven out of 10 in the Midland
Basin is for the period February 2016 through February 2017;
five out of 10 in the Delaware Basin covers February 2014 to
Febr ua ry 2017.)
By locating the hypocenters of the seismic signals propagating
from induced fractures or reactivated natural fractures and through
more in-depth analysis of the nature of these seismic events, it is
possible to develop a rich understanding of the geometry of the
permeability-enhanced volume created by stimulation of the well.
e results of these analyses can be used to help optimize well
placement and stimulation programs in unconventional reservoirs
(Maxwell, 2010). After considering the success of this technology
Figure 2. Wintershall (WIAR) blocks in the Neuquén Basin.
Figure 3. Location map of the stimulated wells and monitoring arrays in the
Aguada Federal block. Surface and microseismic buried array locations are shown
as orange lines and white squares, respectively. The vertical Af.x-1 well is located
at the indicated red circle. The four horizontal wells are labeled by their color.
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April 2018 THE LEADING EDGE 265Special Section: Latin America
in other plays, Wintershall decided to incorporate microseismic
monitoring into its development of the Vaca Muerta.
e completion of well AF.x-1 was monitored with a surface
array consisting of 10 lines, approximately 3 km long and of 214
channels each, placed symmetrically around the well’s surface
location as pictured in Figure 3. e station interval was 14 m.
ere were 12 geophones (conventional 10 Hz, vertical) in each
group, spaced evenly between the stations along the radial arms
of the array. e vertical well was treated in four stages over the
depth range of 2642 to 2841 m, covering the Lower, Middle, and
Upper Vaca Muerta intervals. e goal of the monitoring was to
inform later decisions on horizontal wellbore direction, wellbore
and stage spacing, and landing depth.
A surface array was selected for the monitoring for several
reasons. Available monitor wells were too far removed from the
location of AF.x-1 to be of practical use. Wintershall was interested
in determining moment tensors, failure mechanisms, and stress
distribution in the reservoir. Each of these goals was made more
feasible with a large-aperture, wide-azimuth surface array (Duncan
and Eisner, 2010). In addition, Wintershall was interested in
establishing a life-of-field permanent monitoring array over the
block at some point in the development cycle. Such a permanent
array incurs front-end costs for installation, but it then can be
used for the monitoring of many wells over the life of the field,
thereby reducing unit monitoring costs substantially while achiev-
ing the same monitoring objectives as a large surface array. Beyond
frac mapping, monitoring a large number of wells in a developing
field is beneficial for detecting production-related seismicity,
directly mapping indiv idual well dr ain age volu mes , and dete rmi n-
ing the “interconnectivity” of individual wells. Monitoring the
completions of a large number of wells under such a permanent
array can generate improvements in the accuracy of both hydraulic
stimulation design and reservoir simulation models. One goal of
the AF.x-1 surface array monitoring was to develop design param-
eters for such a permanent array.
e observations derived from the microseismic monitoring
of the AF.x-1 treatment were as follows:
e surface array was successful at detecting event magnitudes
in the range of −0.7 to −2.8 with a magnitude of completeness
around −1.8.
e majority of events occurred in two clusters, one in the
Upper Vaca Muerta and one in the overlying Quintuco.
Few events were detected in association with the treatment
of the Lower Vaca Muerta. ere are several possible expla-
nations for this observation. First, the treatment volume
pumped into the lower stage was one-third of that pumped
into the upper. Second, the Upper Vaca Muerta and
Quintuco are known to have greater Young’s and shear
moduli, which suggests they would fail with a more “brittle”
behavior. It is possible that the Lower Vaca Muerta, being
more ductile, merely failed without microseismic emissions
in the magnitude range detected with the surface array.
ird, it is our experience that the first stage pumped into
a reservoir often will produce fewer detected microseismic
events. We believe this observation may be ascribed to the
fact that the reservoir is not yet “pressured up” at that point.
Finally, some authors (for example, Osorio and Muzzio,
2013) have reported that stress anisotropy is higher in the
Upper Vaca Muerta than it is in the Lower, suggesting
another cause for the different response.
ree focal mechan isms we re resolv ed. e dom ina nt mecha-
nism in the Upper Vaca Muerta was oblique slip on a vertical
plane striking at 9. e dominant mechanism for the events
occurring in the overlying Quintuco was reverse oblique on
a 75° dipping plane striking at 35°. e third mechanism
observed was a vertical strike-slip set of fractures mostly
occurring distal to the well with a strike of 50°.
Most events have dominantly double-couple, nonvolumetric
source mechanisms. Of the volumetric changes that do occur,
more events are apparently closing events, rather than opening.
is is interpreted to mean that the microseismic events
represent the interaction between hydraulic fractures propagat-
ing parallel to the direction of maximum horizontal stress
(S
Hmax
) and preexisting natural fractures. Microseismic events
originate where the induced fractures intersect natural frac-
tures that are well oriented with respect to SHmax.
e S
Hmax
or ient ation, as re vea led by event so urc e mechanisms,
is approximately east to west.
Taking into account the half-length of the microseismic cloud,
the indicated wellbore spacing is 150 m.
Taking into account the longitudinal width of the microseismic
zone, the indicated stage spacing is 75 m.
e recommended wellbore orientation is ~N10°E based on
both the direction of event propagation and the estimate of
SHmax azimuth from the observed focal mechanisms.
e recommended landing zone, based on the observed frac-
turing behavior, is the Upper Vaca Muerta.
Permanent array design
Given the success with monitoring the AF.x-1 using a surface
array, Wintershall proceeded with the design and installation of
a permanent, near-surface buried array for the project’s pilot phase.
e important design considerations for the establishment of such
a buried microseismic array are as follows:
depth of geophone placement
individual station array configuration
areal extent of the array (aperture)
number of stations (fold)
Paramount to all of these decisions is the ambient surface
noise level and some knowledge of how that noise falls off with
depth (Duncan and Eisner, 2013). e monitoring of AF.x-1
already had provided a measurement of the ambient noise at the
surface and the event magnitudes that might be expected during
the treatment of the next wells. To measure the falloff of the noise
with depth, a 130 m deep well was drilled and loaded with a
vertical wireline array consisting of 10 geophones spaced 10 m
apart. Ambient noise was recorded over a 72-hour period. e
observed attenuation of ambient noise with depth is presented in
Figure 4. e root-mean-square (rms) noise at the surface had a
median va lue of 50 nm/s.  e noi se was obser ved to fa ll o ff 33 d B
in the first 40 m and then 26 dB in the next 80 m.
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266 THE LEADING EDGE April 2018 Special Section: Latin America
Knowing the ambient noise falloff with depth, one can proceed
to the next step in the design process. ere is a design tradeo
between the number of stations (fold) and the depth of each
station. e driver behind this tradeoff is the acceptable noise
level for a given target signal level. Signal-to-noise ratio (S/N) is
key to the uncertainty in location and focal mechanism estimates
for each and every event (ornton, 2012; Mueller et al., 2013).
S/N determines the effective floor in the detection level of the
array. Drilling deeper reduces the ambient noise at the receiver
(higher S/N) but increases drilling charges. Designing for more
stations (higher fold) results in a net gain in S/N through the
reduction of random noise but at the expense of drilling more
holes, needing more equipment in the field, and having more
traces to process.
e approach taken in the Wintershall array design was to
model the array response using a target magnitude of completeness
of −2.0 and a ta rget S/ N of 3:1. e falloff of signal with distance
was estimated using a Q of 40, the value of which was obtained
from vertical seismic profile work carried out in the area. With
appropriate consideration of cost-benefit tradeoffs, the final design
of the array called for 126 stations spread at an interval distance
of approximately 500 m over a roughly 5 by 7 km grid as displayed
in Figure 3. Each station consisted of three geophone pods
cemented at depths of 50, 35, and 20 m below surface resulting
in 368 seismic channels recorded at a 2 ms sampling. Each pod
consisted of six 4.5 Hz single-component vertical geophones wired
in series (Figures 5 and 6).
Microseismic monitoring wells AF.x-4h, AF.x-9h, AF.x-3h,
and AF.x-7h
e first wells of the pilot phase, the AF.x-4h and AF.x-9h,
were completed in late December 2016 and early January 2017.
e second set of two wells, the AF.x-3h and AF.x-7h, was
completed from May to June 2017. e 4h and 7h were landed
in the upper Middle Vaca Muerta while the 9h and 3h were
drilled about 100 m deeper, landing still in the Middle
Vaca Muerta. e lateral length of each well was approximately
1000 m, and each was completed with 11 plug-and-perf stages.
Stage length and interval were varied along the wells to test the
reservoir’s response to various completion design parameters.
e rms ambient noise observed on the buried array over
the 103 hours of recording was observed to be about 5 nm/s.
is is a full order of magnitude below the ambient noise observed
on the surface array. e hypocenters of the final event set are
displayed in Figure 7. During this monitoring campaign, more
seismic energy was recovered from deeper in the Vaca Muerta,
likely as a result of the increased pumping effort from the multiple
stages in the horizontal wells and the increased sensitivity of
the buried array (Figure 8). Estimated uncertainty in the event
locations as a function of S/N achieved with the buried array is
plotted in Figure 9 (ornton, 2012; Mueller et al., 2013).
Full moment tensor inversion (Aki and Richards, 1980) and
focal mechanism determination were applied to all events with
a S/N of 5 or greater (postprocessing). is resulted in 3994
distinct mechanism determinations. e three dominant
Figure 4. Noise test results showing noise reduction with depth.
Figure 5. Sketch of a buried array installation along with pictures of the sondes
and the wireless recorder.
Figure 6. Installing the buried array in September 2016.
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April 2018 THE LEADING EDGE 267Special Section: Latin America
mechanisms are an approximately vertical dip-slip mechanism
striking at 90° and two sets of strike-slip fractures, one striking
at 150° and the other at 0°. A fourth mechanism, strike-slip at
50°, as was seen during the treatment of AF.x-1, was also present
in small numbers. ese mechanisms are consistent with pub-
lished studies for the basin. For example, Garcia et al. (2013)
report that the stress regime in the Neuquén changes from
dominantly “normal” to dominantly “strike-slip” as one moves
from east to west through the basin. e Aguada Federal block
is in the intermediate or mixed zone. Bishop (2015) in work
based on wellbore breakout studies, reports that S
Hmax
in the
area strikes east to west while the minimum horizontal stress
(Shmin) strikes north to south. Bishop also reports conductive
natural fractures at 50° and 155°.
A discrete fracture network (DFN) was constructed from the
microseismic event catalog to create a more geologically reasonable
model of the fracture network activated by treatment of the wells.
Each event hypocenter, as represented by a sphere in Figure 7, is
replaced with a planar fracture element oriented with strike and
dip equal to the strike and dip of the focal mechanism estimated
for that particular event (Williams-Stroud and Eisner, 2014). e
area of the planar fracture element is calculated from the moment
magnitude of the particular event. Figure 10 displays a map and
depth section view of the DFN derived from the microseismic
monitoring of the four horizontal wells being discussed here.
e next step to be taken in the analysis and interpretation
of these data is to upscale this fracture model into a stimulated
reservoir volume (SRV) that maps the permeability enhancement
of the reservoir achieved by the stimulation. Such a volume will
be used as input to a conventional reservoir simulation to predict
production volumes and pressure drawdown distributions for
these wells over time (Shojaei and Lipp, 2016) with the caveat
Figure 7. Hypocenter locations for the final event set captured during the treatment of the four horizontal wells. (a) Map view. (b) Depth view looking west. (c) Gun barrel
view looking south. Horizon tops are shown for Upper, Middle, and Lower Vaca Muerta as well as the underlying Tordillo. Grid size in all plots is 100 × 100 m. Events are
sized by magnitude.
Figure 8. Cumulative seismic moment observed for the five Aguada Federal wells.
Note the increased depth sensitivity with the buried array (orange) versus the
surface FracStar (blue).
Figure 9. Horizontal (XY) and vertical (Z) estimated event location uncertainty as
a function of S/N during the monitoring of wells AF.x-4h, 9h, 3h, and 7h using the
buried array.
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268 THE LEADING EDGE April 2018 Special Section: Latin America
that allowance must be made for the extent to which the SRV
actually received proppant filling.
SHmax and geomechanics
Another important extension of the focal mechanism deter-
mination is to use the distribution of observed fault motions to
estimate the direction of SHmax and the ratio of principle stresses
ϕ at each point of failure as defined in equation 1:
=
2
3
()
1
3
()
, (1)
where σ1, σ2, and σ3 are the three principal stresses (Michael,
1984; Angelier, 1989).
e estimate of this ratio is made under the assumption that
the fracture slip is in the same direction as the resolved shear
stress on the fracture plane (Bott, 1959). Assuming that one of
the principal stresses is vertical and can be estimated from the
density log or other means, and that
Shmin can be estimated from a DFIT or
similar test, then the direction and value
of S
Hmax
may be calculated for every
microseismic event for which a mecha-
nism is determined (Agharazi, 2016).
Applying this analysis to the moni-
toring results of horizontal wells, we
can plot all the events on a Mohr’s circle
diagram as given in Figure 11. As the
hydraulic fracture stimulation proceeds,
the injected fluids act to increase the
pore or f ractur e pressure in the re ser voi r,
thereby reducing the net normal confin-
ing pressure until the ratio of shear stress
to net normal stress exceeds the strength
of the rock or the friction on a planar
fracture. Fractures close to this condi-
ti on are refer red to a s cr itica lly st ressed.
One can think of the hydraulic fractur-
ing process as moving the circular figure
in the plot below to the left relative to
the axes, with failure occurring when-
ever the point representing the failure
plane crosses the line of friction (Jaeger
et al., 2008).
Each of the points on the plot in
Fi gure 11 repres ents an observed micro-
seismic event from the monitoring of
the four horizontal completions. Hence,
each event represents a failure of the
rock. Points farther to the right are
harder to fracture as highlighted by the
color bands. Events plotting in the
colder colors required a higher pore
pressure to be present before
failure occurred.
A practical application of this
observation is that the Quintuco
events activated in the treatment of
AF.x-1 plot much farther to the right
th an do the events in th e Vaca Muert a.
In other words, the failure planes
excited in the Quintuco Formation
during treatment are less favorably
oriented with respect to the principal
stresses than are those observed to fail
Figure 11. Geomechanical analysis results for the microseismic events captured during the treatment of the
horizontal wells. The diagram on the left illustrates the directions determined for the three principal stresses on
a lower hemisphere polar projection. The Mohr’s circle plots on the right illustrate the relative magnitude of the
stresses at the time of failure. The horizontal axis is the net stress acting normal to the event failure plane, and
the vertical axis is the resultant shear stress on the fracture plane. The relative sizes of the principal stresses
are shown by their position on the horizontal axis. The dots represent the position of the observed event fracture
planes in this stress coordinate system. The straight lines represent hypothetical lines of friction, the ratio of
shear stress to normal stress at which failure occurs. The colors indicate the state of stress at any point in this
system with colder colors representing more stable or less likely to fail conditions. The equations illustrate how
the value of SHmax is derived in a normal faulting regime once the stress ratio ϕ has been estimated from the
focal mechanisms.
Figure 10. DFN derived from data displayed in Figure 9 using strike, dip and magnitude of the observed
microseismic events. (a) Map view. (b) Depth view looking west. Grid size is 100 × 100 m.
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April 2018 THE LEADING EDGE 269Special Section: Latin America
in the Vac a Mue rta Format ion. Very fe w Quintuco event s were
observed in the treatment of the subsequent four horizontal
wells, suggesting that during these treatments fluids penetrating
to the Quintuco did not raise the pore pressure high enough
to cause failure. Furthermore, the distribution of event orienta-
tions and their relative distance from failure or criticality
observed while treating the horizontal wells suggest an oppor-
tunity to be selective and efficient when pumping. It would
seem logical and economical to limit raising the pore pressure
to the point where events oriented perpendicular to SHmax are
triggered because they will tend to close first and make a
minimal contribution to long-term production.
Conclusion
Microseismic monitoring of the AF.x-1, AF.x-4h, AF.x-9h,
AF.x-3h, and AF.x-7h was successful in helping Wintershall
better understand and design an optimal completion strategy
for the Vaca Muerta play, Neuquén Basin, Argentina. During
the technical phase, the monitoring of a single vertical well with
a large surface array established that a surface array could indeed
detect events originating in the Vaca Muerta. e results provided
insight on preferred horizontal well orientation, spacing, and
landing zone. e data also helped establish the feasibility of a
permanent life-of-field array that was later installed during the
pilot phase of field development. A large-scale, permanent array
was desired not only for the technical advantages provided by a
large-aperture, wide-azimuth observation of the microseismic
signals, but also for the technical and budgetary advantages of
a permanent facility that would allow for the monitoring of
multiple wells at a reasonable cost.
e permanent array of 128 stations was installed in late 2016.
To date, the stimulations of four horizontal wells have been
monitored with this array. ese observations provide a detailed
description of the fracture network created by the treatments.
Focal mechanisms estimated for the detected events have been
used to understand the stress distribution in the reservoir and to
further refine the completion parameters for future wells.
Corresponding author: pduncan@microseismic.com
References
Agharazi, A., 2016, Determination of maximum horizontal field
stress from microseismic focal mechanisms — A deterministic
approach: 50th U.S. Rock Mechanics/Geomechanics Symposium,
ARMA, paper ARMA-2016-691.
Aki, K., and P. G. Richards, 1980, Quantitative seismology: eory
and methods: W. H. Freeman and Co.
Angelier, J., 1989, From orientation to magnitudes in paleostress deter-
minations using fault slip data: Journal of Structural Geology, 11,
no. 1–2, 37–50, https://doi.org/10.1016/0191-8141(89)90034-5.
Bishop, K., 2015, Mechanical stratigraphy of the Vaca Muerta For-
mation, Neuquén Basin, Argentina: M.S. thesis, Colorado School
of Mines.
Bott, M. H. P., 1959, e mechanics of oblique slip faulting: Geo-
logical Magazine, 96, no. 2, 109–117, https://doi.org/10.1017/
S0016756800059987.
Duncan, P. M., P. G. Smith, K. Smith, W. B. Barker, S. Williams-
Stroud, and L. Eisner, 2013, Microseismic monitoring in Early
Haynesville development, in U. Hammes and J. Gale, eds., Geol-
ogy of the Haynesville gas shale in East Texas and West Louisi-
ana, U.S.A.: AAPG Memoir 105, 219–236.
Duncan, P. M., and L. Eisner, 2010, Reservoir characterization using
surface microseismic monitoring: Geophysics, 75, no. 5, 75A139–
75A146, https://doi.org/10.1190/1.3467760.
EIA, 2017, International energy statistics, total petroleum and other
liquids: US Energy Information Administration, US Department
of Energy, https://www.eia.gov/beta/international/data/browser,
accessed 27 February 2018.
EIA, 2013, Technically recoverable shale oil and shale gas resources:
An assessment of 137 shale formations in 41 countries outside
the United States: US Energy Information Administration, US
Department of Energy, https://www.eia.gov/analysis/studies/
worldshalegas/archive/2013/pdf/fullreport_2013.pdf, accessed
27 February 2018.
Garcia, M. N., F. Sorenson, J. C. Bonapace, F. Motta, C. Bajuk, and
H. Stockman, 2013, Vaca Muerta shale reservoir characteriza-
tion and description: e starting point for development of a shale
play with very good possibilities for a successful project: Uncon-
ventional Resources Technology Conference, https://doi.
org/10.1190/urtec2013-090.
Jaeger, J. C., N. G. W. Cook, and R. W. Zimmerman, 2008, Fun-
damentals of rock mechanics, 4th ed.: Blackwell Publishing.
Maxwell, S., 2010, Microseismic: Growth born from success: e
Leadi ng Edge, 29, no. 3, 338–343, htt ps://doi.org/10.1190/1.3353732.
Michael, A. J., 1984, Determination of stress from slip data: Faults
and folds: Journal of Geophysical Research, 89, no. B13, 11,517
11,526, https://doi.org/10.1029/JB089iB13p11517.
Mueller, M., M. ornton, and L. Eisner, 2013, Uncertainty in sur-
face microseismic monitoring: A APG Search and Discovery arti-
cle #41258.
Osorio, J. G., and M. E. Muzzio, 2013, Correlation between micro-
seismicity and geomechanics factors affecting the hydraulic frac-
turing performance in unconventional reservoirs — A field case
in Neuquén: 47th U.S. Rock Mechanics/Geomechanics Sympo-
sium, ARMA, paper ARMA-2013-526.
Shojaei, H., and C. Lipp, 2016, Optimizing unconventional field
development through an integrated reservoir characterization and
simulation approach: Unconventional Resources Technology Con-
ference, URTEC-2435418-MS.
ornton, M., 2012, Resolution and location uncertainties in sur-
face microseismic monitoring: GeoConvention.
Williams–Stroud, S. C., and L. Eisner, 2014, Method for determining
discrete f racture networks from passive seismic signals and its appli-
cation to subsurface reser voir simulation: U.S. Patent 8,902,710 B2.
Downloaded 04/03/18 to 144.29.1.26. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/
... For a more detailed description of the seismic processing workflow (e.g. preconditioning, time migration) the reader is referred to Curia et al. (2018a and2018c). Below follows a brief summary of the main processing steps. ...
... Complementary information is provided by microseismic monitoring of well completions on the Aguada Federal concession block through surface and buried arrays, installed on one vertical and four horizontal wells ( Curia et al., 2018a). The more expensive buried array is less influenced by surface noise and allows detection of weaker seismic signals. ...
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Acquisition and processing of Wide Azimuth, Large Offset and High Fold (WA/LO/HF) 3D seismic data is presented. Preserved amplitude and dedicated azimuthal workflows (e,g. anisotropy analysis, pre-stack elastic inversion and reservoir characterization) make quantitative seismic interpretation possible. Layering, fracture distribution and local stress pattern cause velocity anisotropy in the Aguada Federal dataset. Well ties and residual normal move-out (NMO) help in the determination of anisotropy parameters (eta, epsilon and delta). Non-hyperbolic 4 th-order polynomial move-out improves flattening of reflections in the seismic gathers. Sinusoidal residual move-out on common-offset, common-azimuth gathers is diagnostic for the amount of HTI anisotropy. Gathers with applied Azimuthal Residual Move-out (ARMO) improve the quality of the seismic imaging considerably. Anisotropic 3D tomographic raytracing and velocity model building enhance the depth imaging efficiency. Reflections are better focussed and the higher frequency part of the spectra is boosted. The migration repositions the energy in depth and the mismatch of geologic markers at well locations is reduced. Higher fidelity datasets are better suited for seismic inversion, reservoir characterization and fracture prediction. The workflow serves to estimate Vp, Vs, density, total organic contents (TOC), Young's modulus E, pore pressure. Delineation of Vaca Muerta sweet spots is made possible. Seismic anisotropy analysis allows optimisation of the well landing point, well spacing and preferred trajectory orientation.
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Anthropogenic emissions have severely perturbed the marine biogeochemical cycle of lead (Pb). Here, we present new Pb concentration and isotope data for surface seawater from GEOTRACES section GA02, sampled in the western South Atlantic in 2011. The South Atlantic is divided into three hydrographic zones: equatorial (0-20°S), subtropical (20-40°S), and subantarctic (40-60°S). The equatorial zone is dominated by previously deposited Pb transported by surface currents. The subtropical zone largely reflects anthropogenic Pb emissions from South America, whilst the subantarctic zone presents a mixture of South American anthropogenic Pb and natural Pb from Patagonian dust. The mean Pb concentration of 16.7 ± 3.8 pmol/kg is 34 % lower than in the 1990s, mostly driven by changes in the subtropical zone, with the fraction of natural Pb increasing from 24 % to 36 % between 1996 and 2011. Although anthropogenic Pb remains predominant, these findings demonstrate the effectiveness of policies that banned leaded gasoline.
... Por último, con el propósito de poblar de datos los sectores en los que hay escasez de información se tomaron los datos del World Stress Map correspondientes a la cuenca Neuquina, así como también datos recolectados de publicaciones previas (Cuervo et al. 2014;Curia et al. 2018). ...
Conference Paper
In recent years, the development of unconventional reservoirs has become more relevant in Argentina, so understanding how to maximize the productivity of drilled wells is one of the main objectives. One of the factors that impacts productivity is the efficiency in the development of hydraulic fractures. For this reason, it is convenient to consider the orientation of in situ stresses. This factor is also essential when defining the location of wells because there could be interferences of fractures from different wells, affecting productivity. Furthermore, it can affect the development of the block defining the orientation of horizontal wells. In this way, knowing the direction of the maximum horizontal stress (SHmax) is essential for an effective hydraulic fracture which means that the Stimulated Rock Volume (SRV) is maximized. With this objective, a horizontal stress orientation map was made for the Neuquén basin based on the interpretation of well images, both acoustic and resistive, and microseismic monitoring. In this work, the resulting SHmax orientation map is presented from the analysis of 273 wells recorded in different blocks of the Neuquén basin, covering a significant areal distribution. As a result, a predominantly E-W SHmax orientation is observed, controlled by tectonic forces. Moreover, there were identified and evaluated areas where the SHmax deviates from the regional trend inducing rotations in vector directions.
... This study describes the subsurface structure in Kota Lama in 2 dimensions based on Kg, PGA, and GSS data by measuring microtremors using the HVSR method. This method was chosen because it has been used for various purposes worldwide, including monitoring the hydrocarbon productivity of the Nauquen basin in Argentina [20], estimating site effects in the southern part of Marsa Alam city, Egypt [21], estimating earthquake amplification [22], analyzing rock slides based on seismic data on earth surfaces [23], estimating the thickness of basalt profiles [24], assessing the seismic site effect in the Ngipik landfill in Gresik Indonesia [25], detecting sediment thickness in the karst delta of China's Pearl River [26], utilizing microtremors for surveys in the Hakkari region of eastern Turkey [27], and studying groundwater [28]. ...
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Shale reservoirs host ubiquitous multi-scale natural fractures created by factors such as pore pressure build-up after petroleum generation and palaeo crustal stress changes during tectonic episodes. Natural fractures are among postulated drivers of stimulated shale well productivity and related variability. Quantifying the aforementioned role and optimizing recovery calls for litho-structural assessments. In this interdisciplinary study, natural fracture density (fractures per unit length) for North and South American shales (Marcellus, Eagle Ford, Haynesville, Barnett, Fayetteville and Vaca Muerta) was estimated from published observations of outcrops, cores and borehole images. Associated production for latest horizontal wells, drilled in the most productive locations (sweet spots), was normalized by lateral length and reservoir thickness. It was found to correlate positively with density of small-scale natural fractures. Durations of transient linear flow, diagnosed from production data, were play-specific, negatively correlated with small-scale natural fracture density and led to realization of picodarcy matrix permeability. Conversely, large-scale (tectonic) fractures limit stimulation efficiency and pose environmental/induced seismicity risks. Therefore, stimulation-driven reactivation of small-scale fractures facilitates drainage and enhances well productivity. Relatedly, reservoir flow regimes and production decline curves are intricately controlled by interplay of natural fracture density and matrix permeability. Variability of these parameters calls for acreage-tailored stimulations.
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We have developed the results of high-resolution seismic imaging at The Geysers geothermal reservoir in northern California, USA, using a dense seismic network to image the spatial heterogeneity of the reservoir structure and flow paths. The project uses 92 seismic stations spaced at approximately 500 m over a 5 km × 5 km study area. Microseismic data for more than 17,000 earthquakes were acquired over a period of 13 months and automatically processed for P- and S-wave phase arrival times. The data were subsequently inverted using a joint inversion approach to image the spatial heterogeneity of the reservoir including the 3D P- and S-wave velocity structure, V P / V S ratio, and to locate earthquake hypocenters. The resulting tomographic images were appraised by integration into The Geysers’ 3D reservoir model and by a spatial correlation to the injection and production wells. Spatial correlation of P-wave velocity images to water injection and steam production wells reveal higher velocities below injection wells, due to higher water saturation, and lower velocities in the vicinity of steam-producing wells, due to the presence of steam in the surrounding reservoir rocks. The spatial correlation of V P / V S to steam in the reservoir indicates decreased estimates in the vicinity of steam production wells. In contrast, the V P / V S ratio reveals high values in the reservoir for regions near water injection wells and along the potential flow path of water through the reservoir. The estimates of the shear modulus indicate high values in a region of competent graywacke, which is known for a lack of fractures and steam production, and low values in a region that is dominated by water flow, suggesting that fractured rock created a pathway for the water through the reservoir. The heterogeneity observed in the S-wave velocities indicates a compartmentalized reservoir, which correlates spatially with the fault projections in the 3D reservoir model.
Chapter
The most utilized technique for exploring the Earth's subsurface for petroleum is reflection seismology. However, a sole focus on reflection seismology often misses opportunities to integrate other geophysical techniques such as gravity, magnetic, resistivity, and other seismicity techniques, which have tended to be used in isolation and by specialist teams. There is now growing appreciation that these technologies used in combination with reflection seismology can produce more accurate images of the subsurface. This book describes how these different field techniques can be used individually and in combination with each other and with seismic reflection data. World leading experts present chapters covering different techniques and describe when, where, and how to apply them to improve petroleum exploration and production. It also explores the use of such techniques in monitoring CO2 storage reservoirs. Including case studies throughout, it will be an invaluable resource for petroleum industry professionals, advanced students, and researchers.
Conference Paper
Hydraulic well stimulation requires knowledge of fractures and rock elasticity as these parameters reduce uncertainty attached to shale oil development prospects. Multicomponent 3D-3C seismic data is input for more reliable estimation of rock physical parameters. This info is useful to optimize fracture stimulation of low permeability unconventional reservoirs in the Vaca Muerta formation. Multicomponent seismic adds value to the anisotropy analysis by considering also shear wave splitting effects. Elastic properties (e.g. Young's modulus) are retrieved from PP-PS joint inversion. The wide azimuth Bandurria Norte multicomponent survey was successfully acquired, processed and interpreted. Estimation of shear wave splitting effects help to improve accuracy of the velocities and the PreSTM imaging. Directional dependency of the seismic velocities is thought related to fracture distribution and local stress regime. The method allows to define 'sweet spots' on the Vaca Muerta target level. Introduction Knowledge of rock mechanic properties forms essential input for unconventional hydrocarbon resource development projects. Reliable rock physical parameter prediction necessitates dedicated seismic surveys with the following acquisition criteria: 1) wide azimuth, 2) long offsets and 3) high density coverage (Curia et al 2018a,b,c; Curia and Veeken 2018). Delineation of sweet spots in the zone of interest over the target interval is made possible via analysis of anisotropy effects (well misties, 4th order polynomial move-out) and tomographic velocity determinations. Preferential fracture directions can be thus assessed (cf Li and Martinez 2012). High resolution velocity analysis and careful processing not only give a better depth imaging result, but also allow more accurate reservoir characterization and subsurface parameter prediction (Sharma et al 2015). This information is useful for development well design and optimization of the subsurface evaluation workflow (Veeken et al 2020). The 3C workflow deals with S-wave information and the observed shear-wave splitting allows better quantification of the measured anisotropy. The unconventional development target is the Upper Jurassic to Lower Cretaceous Vaca Muerta source rocks in the Bandurria Norte concession block. Acquisition, pre-conditioning and processing of the seismic dataset is presented in Curia et al (2020). Here we concentrate on the inversion and reservoir characterization with various parameter estimations.
Conference Paper
Full-text available
Uncertainty in a migration based approach to surface microseismic monitoring occurs in two ways: uncertainty in the validity in detected event and uncertainty in the estimated position of the event. Synthetic modeling and comparison to case studies show that sign-to-noise-ratio is a key indicator of both types of the uncertainties.
Conference Paper
In shale reservoirs, where permeabilities are low, additional stimulation is required to ensure economic production (Warpinski et al., 2009). In the case of the Vaca Muerta shale in Argentina the mechanical behaviour of the rock as it relates to the ability of natural and induced fractures to sustain hydraulic conductivity pathways is considered the primary factor controlling play economics. With limited well control and core data available for calibration, an analysis of natural fractures present in the Vaca Muerta Formation was performed on 5 wells. Borehole image logs were analysed to study the existence of natural fractures in the wells and identified fractures were classed by character, and modelled for their relative stability. Results of the investigation show three sections of the Vaca Muerta. A lower section, rich in organic and siliciclastic content, an upper section where organic content is lowest and carbonate content highest, and a middle interval where the borehole image analysis identified the highest number of natural fractures present. Furthermore, the model results indicate that the identified fractures are highly likely to become reactivated during hydraulic stimulation.
Patent
A method for mapping a fracture network that includes determining a source of at least one seismic event from features in recorded seismic signals exceeding a selected amplitude (“visible seismic event”). The signals are generated by a plurality of seismic receivers disposed proximate a volume of subsurface to be evaluated. The signals are electrical or optical and represent seismic amplitude. A source mechanism of the at least one visible seismic event is determined. A fracture size and orientation are determined from the source mechanism. Seismic events are determined from the signals from features less than the selected amplitude (“invisible seismic events”) using a stacking procedure. A source mechanism for the invisible seismic events is determined by matched filtering. At least one fracture is defined from the invisible seismic events. A fracture network model is generated by combining the fracture determined from the visible seismic event with the fracture determined from the invisible seismic events.
Article
This paper investigates the qualitative correlation between microseismicity and the geomechanics attributes affecting the hydraulic fracturing performance in Vaca Muerta formation - LJE and PSO blocks - in Neuquén, Argentina. The paper includes typical results from ID geomechanics models in the area, a short description of the microseismic setup, and qualitative correlation between microseismic occurrence and some geomechanics attributes such as stresses, brittleness, rock strength and elastic properties. Results show that: fracture growing follows complex and asymmetric patterns; the high-pressure/high-stress behavior in the lower part of Vaca Muerta, where TOC is at maximum, causes stress anisotropy and impacts formation brittleness unfavorably; low pore pressure and stresses and high stress anisotropy favor fracture complexity; low values of cohesion, tensile strength and Poisson's ratio and high values of Young's modulus correlate with microseismic occurrence.
Conference Paper
The Vaca Muerta formation is one of the primary source rocks at the Neuquina basin located in the central west portion of Argentina, South America. During the last few years, it has been at the industry forefront for different reasons. Currently, many operators, including some of the major industry leaders, are initiating their own approach to this promising play. This shale reservoir, like many others, is characterized as a marine deposit with different depositional sequences and environments. Therefore, its organic content, as well as mineralogy, changes across its areal and vertical distribution. The Vaca Muerta areal extension is in the order of 30000 km2 (7,413,154 acres), and reservoir thickness varies from 160 to 400 m. Based on the many different analyses performed and results of vertical pilot wells across the basin, it is understood that this shale reservoir offers a very high potential within its different facies. This paper includes some of the lessons learned from Vaca Muerta as a result of the characterization process that has been building for the last few years. Some recommendations are also provided that relate to well construction, reservoir characterization, and well completions.
Article
A new technique is derived to invert slickenside data for the stress field that caused the faulting episode. This inversion is simplified by the assumption that the magnitude of the tangential traction on the various fault planes, at the time of repture, is similar. Study of three normal faulting regimes shows that the inversion derived with this assumption yields results that closely match older inversion that did not include the assumption. Hence the assumption may be valid and is shown to be justified by analyzing a simple fracture criterion. Application of slip data inversions is extended from faulting regimes to the slip on bedding plane faults in folding regimes. Comparison of the inversion results with the geometry of the folds shows this application to be successful, greatly increasing the number of data sets that can be used to find the paleostress field.