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Characteristics of the nuclear magnetic resonance logging response in fracture oil and gas reservoirs

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New Journal of Physics
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Fracture oil and gas reservoirs exist in large numbers. The accurate logging evaluation of fracture reservoirs has puzzled petroleum geologists for a long time. Nuclear magnetic resonance (NMR) logging is an effective new technology for borehole measurement and formation evaluation. It has been widely applied in non-fracture reservoirs, and good results have been obtained. But its application in fracture reservoirs has rarely been reported in the literature. This paper studies systematically the impact of fracture parameters (width, number, angle, etc), the instrument parameter (antenna length) and the borehole condition (type of drilling fluid) on NMR logging by establishing the equation of the NMR logging response in fracture reservoirs. First, the relationship between the transverse relaxation time of fluid-saturated fracture and fracture aperture in the condition of different transverse surface relaxation rates was analyzed; then, the impact of the fracture aperture, dip angle, length of two kinds of antennas and mud type was calculated through forward modeling and inversion. The results show that the existence of fractures affects the NMR logging; the characteristics of the NMR logging response become more obvious with increasing fracture aperture and number of fractures. It is also found that T2 distribution from the fracture reservoir will be affected by echo spacing, type of drilling fluids and length of antennas. A long echo spacing is more sensitive to the type of drilling fluid. A short antenna is more effective for identifying fractures. In addition, the impact of fracture dip angle on NMR logging is affected by the antenna length.
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Characteristics of the nuclear magnetic resonance
logging response in fracture oil and gas reservoirs
To cite this article: Lizhi Xiao and Kui Li 2011 New J. Phys. 13 045003
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The open–access journal for physics
New Journal of Physics
Characteristics of the nuclear magnetic resonance
logging response in fracture oil and gas reservoirs
Lizhi Xiao1and Kui Li
State Key Laboratory of Petroleum Resources and Prospecting,
China University of Petroleum, Beijing 102249, China
E-mail: xiaolizhi@cup.edu.cn
New Journal of Physics 13 (2011) 045003 (12pp)
Received 30 July 2010
Published 4 April 2011
Online at http://www.njp.org/
doi:10.1088/1367-2630/13/4/045003
Abstract. Fracture oil and gas reservoirs exist in large numbers. The accurate
logging evaluation of fracture reservoirs has puzzled petroleum geologists for
a long time. Nuclear magnetic resonance (NMR) logging is an effective new
technology for borehole measurement and formation evaluation. It has been
widely applied in non-fracture reservoirs, and good results have been obtained.
But its application in fracture reservoirs has rarely been reported in the literature.
This paper studies systematically the impact of fracture parameters (width,
number, angle, etc), the instrument parameter (antenna length) and the borehole
condition (type of drilling fluid) on NMR logging by establishing the equation of
the NMR logging response in fracture reservoirs. First, the relationship between
the transverse relaxation time of fluid-saturated fracture and fracture aperture
in the condition of different transverse surface relaxation rates was analyzed;
then, the impact of the fracture aperture, dip angle, length of two kinds of
antennas and mud type was calculated through forward modeling and inversion.
The results show that the existence of fractures affects the NMR logging;
the characteristics of the NMR logging response become more obvious with
increasing fracture aperture and number of fractures. It is also found that T2
distribution from the fracture reservoir will be affected by echo spacing, type of
drilling fluids and length of antennas. A long echo spacing is more sensitive to the
type of drilling fluid. A short antenna is more effective for identifying fractures.
In addition, the impact of fracture dip angle on NMR logging is affected by the
antenna length.
1Author to whom any correspondence should be addressed.
New Journal of Physics 13 (2011) 045003
1367-2630/11/045003+12$33.00 © IOP Publishing Ltd and Deutsche Physikalische Gesellschaft
2
Contents
1. Introduction 2
2. Response equation 3
3. Analysis and discussion 5
3.1. Impact of fracture aperture ............................ 6
3.2. Impact of dip angle ................................ 7
3.3. Impact of drilling fluids .............................. 7
3.4. Impact of antenna length ............................. 10
4. Conclusions 10
References 12
1. Introduction
Fractures normally develop well in carbonate and igneous rocks and can also be found in
sandstones. Fracture types in the formation include network fractures, oblique fractures, vertical
fractures, half-filling fractures and induced fractures. Fractures play a very important role in
oil and gas recovery. Fractures could connect isolated vugs, which may generate an effective
reservoir space. They may also be conducive to the secondary transformation of reservoirs
[1,2]. Identifying and evaluating fractures have always been important tasks in well logging.
It is known that nuclear magnetic resonance (NMR) logging provides lithology-
independent porosity and T2distributions. T2distribution is a starting point for further
interpretation and evaluation of NMR logging, and it contains a variety of information about
the fluids in the pore and in the matrix. From T2distribution, one can derive the porosity,
permeability and pore size distribution, which are essential for formation evaluation [3]–[9].
Figure 1shows examples of NMR logging in fracture reservoirs. In figure 1(a), the zone
of interest is between 3590 and 3600 m, and was identified as a gas-bearing formation from
mud logging data. In figure 1(b), the zone of interest is from 3599.6 to 3607.4, and mud log
measurements show an exception. Both of them are well-developed fracture zones, as shown
by formation microimaging (FMI; right side on each). Although their T2distributions of NMR
logging did not show a direct relation to fractures, at some depths, the T2value is small, which
reflects bound fluids, whereas at some other depths, the T2value is large, which normally reflects
movable fluids, from either large pores or fractures. It is necessary to study the characteristics
of the NMR logging response of fracture reservoirs. To date, the study of NMR in fracture
reservoirs is rare; it has been mentioned and analyzed qualitatively in three articles [10]–[12].
Yoshito and Tsuneo [13] proposed a method for estimating fracture apertures using NMR
logging. It was pointed out based on the relation between the T2of fluids in reservoirs and
fracture apertures that if the fracture aperture is greater than 0.2 mm, then one could use NMR
logging (free fluid porosity data) to evaluate fractures quantitatively, and determine the linear
relationship between the free fluid porosity and fracture aperture by calibrating the NMR sensor
in the laboratory. In the same study, fractures in a Holocene andesitic lava were evaluated
quantitatively using NMR logging, electrical micro imaging (EMI, trademark of Haliburton
Energy Services) and neutron logging data comprehensively, which was the first quantitative
evaluation of fractures using NMR logging, but there was no discussion of the effects of NMR
logging on fracture reservoirs. We present here a thorough study of the NMR logging response
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
3
Figure 1. NMR logging at fracture reservoirs: (a) igneous rock formation and
(b) sandstone formation.
at fracture reservoirs and investigate whether the fracture parameters, borehole conditions and
sensor parameters will affect the NMR logging response.
2. Response equation
The sensitive zone for an NMR logging sensor will depend on the length of its antenna. For
Magnetic Resonance Imaging Logging (MRIL; trademark of Halliburton Energy Services), the
length of antennas is 24 inches. If the tool does not move during the measurement cycle (i.e. a
stationary reading is obtained), the vertical resolution equals the length of the antennas.
Figure 2(a) shows the detection region, marked by a blue line. The sensitive volume is a thin
cylindrical shell with 24 inches height and 1 mm thickness. Fractures cross the cylindrical shell
by a certain width and angle and form an inclined cylindrical shell (the cylindrical shell is
vertical when the dip angle is 0), as shown in figure 2(b); the relaxation time of the fluid-
saturated fracture will vary with fracture parameters (apertures, number and dip) and type of
fluid in the fracture.
There are three relaxation mechanisms for fluids saturated in reservoir rocks: surface
relaxation, bulk relaxation and diffusive relaxation. Without taking into account the impact of
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
4
Figure 2. The detection region of NMR logging (a) and the distribution of
fractures in the detection region (b).
Figure 3. T2values as a function of fracture aperture with different surface
relaxivities.
diffusion, the transverse relaxation time T2of the fluid in fractures can be expressed as
1/T2=ρ2(S/V)+ 1/T2b,(1)
where ρ2is the surface relaxivity of the fracture. Paramagnetic irons in rocks will yield a high
magnetic susceptibility and increased ρ2value. Here, S/Vis the surface-to-volume ratio of the
pore space, and T2b is the T2of bulk fluid.
For a planar fracture with aperture d,S/Vis 2/d. Therefore, equation (1) can be replaced
by equation (2),
1/T2=ρ2(2/d)+ 1/T2b.(2)
Figure 3shows the relationship between T2of the fluid-saturated fracture and fracture aperture
with different transverse surface relaxivities. We assume that T2b of the drilling fluid filtrate
equals 2 s. The study assumes that no solid particles enter the fractures; hence the drilling fluid
filtrate signature is considered.
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
5
If the matrix porosity, fracture aperture and dip are known, then the volume and porosity of
the fracture in the detection region can be estimated. The volumes of the thin cylindrical shell
and the inclined cylindrical shell are given by equations (3) and (4),
V=Zr2
r1
L·2πrdr,(3)
Vf=Zr2
r1d·2πr
cos θdr,(4)
φf=Vf/V,(5)
φb=φm·(1φf),(6)
where Lis the length of antennas, ris the radial detection depth, θis the fracture dip, dis the
fracture aperture, φfis the fracture porosity, φmis the matrix porosity without fracture and φbis
the matrix porosity when fractures exist in the detection region.
The response function of NMR logging in the fracture reservoir can be expressed as
ECHO =
N
X
i=1
φ1iHIfluid 1expTw/T1,pore(i)expt/T2,pore(i)
+
M
X
i=1
φ2iHIfluid 1expTw/T1,fracture(i)expt/T2,fracture(i)+ noise,(7)
where Nis the bin number for pore size components, Mis the number of fractures, HIfluid is the
hydrogen index of the fluid, T2,pore is the transverse relaxation time of the fluid in the pore and
T2,fracture is the transverse relaxation time of fluid-saturated fractures.
The first part of the equation is the NMR logging response to pores and the second part is to
fractures’ response. It can be seen that the response of NMR logging in the fracture reservoir is
affected by many factors, such as matrix porosity, fracture porosity, type of fluid, T1,T2, which
are controlled by fracture parameters (aperture, number and dip), type of fluid and the length of
antennas.
Based on the equation, an echo train can be produced by forward modeling plus random
noise, and then T2distribution can be inverted from the echo train.
3. Analysis and discussion
Assuming that the fracture is planar, the dip is 0, 45and 90separately and the fracture
aperture is 0.1, 0.5, 1, 10 and 20 mm; the types of drilling fluids include water-based and oil-
based. Matrix porosity, fracture porosity and T2for fluid-saturated fracture could be calculated
by using equations (2)–(6) with different parameters, drilling fluids and lengths of antennas. The
magnetic gradient is given as 18 ×104T cm1and MRIL is used. It is further assumed that
formations exist in only two kinds of reservoirs: small pores and fractures, rock is hydrophilic,
8m=5%, T2b =1 s, the length of antennas is 24 inches, and the detection region exists in a
single fracture. As shown in table 1,T2values become higher and higher with increasing fracture
aperture when a water-based drilling fluid is used, but do not depend on the fracture aperture
when an oil-based drilling fluid is considered.
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
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Table 1. Matrix porosity, fracture porosity and T2of fluid-saturated fractures
with different fracture apertures, dip angles and drilling fluids
Fracture Matrix Fracture
aperture porosity porosity T2(ms) fluid-saturated fracture
Dip θ ()d(mm) φb(%) φf(%)Water-based Oil-based
0 0.1 4.99 0.02 47.61 769.20
0.5 4.99 0.08 200 (TE =0.9 ms)
1 4.99 0.16 333.33 623.40
10 4.91 1.64 833.33 (TE =1.2 ms)
20 4.84 3.28 909.09 271.04
45 (TE =2.4 ms)
0.1 4.99 0.02 47.61 139.58
0.5 4.99 0.12 200 (TE =3.6 ms)
1 4.98 0.23 333.33 83.13
10 4.88 2.32 833.33 (TE =4.8 ms)
20 4.77 4.64 909.09 54.69
(TE =6 ms)
90 Fracture is in the slice 2 4.97 0.48 500
Facture is not in the slice 2 5 0
3.1. Impact of fracture aperture
From equation (2), the transverse relaxation time of fluid-saturated fracture will change with
fracture aperture. From table 1, when the fracture aperture increases, the matrix porosity
decreases and the fracture porosity increases.
Figure 4shows the characteristics of the NMR logging response in the detection region
using a water-based drilling fluid, where the transverse relaxation time and hydrogen index of
the drilling fluid filtrate is 1 s and 1, respectively, and Tw=12 s, TE =1.2 ms, L=24 inches.
Different apertures of fractures are given as 0.1, 0.2, 0.5, 0.8, 1, 2, 3, 4, 5, 10 and 20mm. The
S/Vfor each fracture is calculated by 2/d.
As shown in figure 4, when the fracture aperture dis equal to 0.1 or 0.2 mm, the T2
distribution is the same as when there is no fracture. When the fracture aperture is equal to
or greater than 2 mm, bimodal distributions appear on the T2spectrum; with increasing fracture
aperture, the peak of the T2distribution becomes larger gradually.
In a network-fracture or oblique-fracture formation, an NMR sensor will detect more
fracture signals.
Figure 5shows T2distributions when the formations exist in a single or two fractures
(assuming the two fractures are spaced apart by 2 mm). Here, the total width of two fractures
is equal to the width of a single fracture. Their T2distributions are basically the same. From
equation (2) it is seen that the T2values of a single fracture with an aperture of 2 mm and
two fractures with an aperture of 2 mm are different, but when the fracture aperture is small,
the fracture porosity is accordingly small, so its effect could be ignored. Therefore, when the
fracture aperture is very small, the impact of porosity on NMR logging is dominant.
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
7
Figure 4. NMR signal decay curves (a) and T2distributions with different
fracture apertures (b).
3.2. Impact of dip angle
When the dip angle of the fracture changes, the volume of fracture in the slice will change;
according to equation (4), fracture porosity changes accordingly; when the fracture dip is too
large, the fracture will not fully appear in the detection area owing to the thickness of the NMR
slice, such as vertical fractures (with a dip of 90). Therefore, it is necessary to consider two
cases: whether the vertical fracture is in the slice or is not in the slice. After calculating, we
could see that when the fracture dip is 0and 45, respectively, the reservoir matrix porosity and
fracture porosity vary in the range of 0–0.1% and 0–1.36% at several fracture apertures, which
illustrates that the impact of the change in dip angle on the NMR logging is not obvious when
the aperture of the fracture is small, but becomes increasingly obvious with increasing fracture
aperture. Here we test the shape of the T2spectrum with variation of dip angle when the fracture
aperture is equal to 2 mm.
Figure 6shows six cases: the dip angle of the fracture θequals 0,15,30,45,60and
90,respectively. We can see that the change in T2distribution with dip angle is not obvious
when the fracture aperture equals 2 mm.
3.3. Impact of drilling fluids
The small pores are hydrophilic. When the drill fluid filtrate invades into the formation, the
pores in the flushed zone fractures will fill with filtrate completely. Typical drilling fluids include
water-based drilling fluid, oil-based drilling fluid and gas drilling. Different drilling fluids have
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
8
Figure 5. NMR T2distributions of the detection region with different fracture
apertures: (a) single fracture; (b) two fractures.
Figure 6. d=2 mm, T2distribution with different dip angles: (a) using water-
based drilling fluid, the sensor coincided with the vertical fractures; (b) using
water-based drilling fluid, the sensor did not coincide with the vertical fractures.
different hydrogen indexes, diffusion coefficients and transverse relaxation times due to their
different densities and viscosities. Any change in parameters in equation (7) may affect the
response of NMR logging. When the diffusion coefficient of the drilling fluid filtrate is large,
the effect of diffusion relaxation could not be ignored, and equation (2) should be written as
1/T2f =ρ2(2/d)+(1/T2b)+Df(rGTE)2
12 ,(8)
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
9
Figure 7. T2distributions under different drilling fluid filtrates: (a) water-based
drilling fluid, TE =1.2 ms; (b) water-based drilling fluid, TE =6.0 ms; (c) oil-
based drilling fluid, TE =1.2 ms; (d) oil-based drilling fluid, TE =6.0 ms.
where G is the magnetic gradient of the static magnetic field produced by the NMR logging tool
and TE is the echo spacing.
Here, T2f is the transverse relaxation time of the fluid-saturated fracture, Dfis the diffusion
coefficient of the drilling fluid filtrate, and T2b is the bulk relaxation time, which is related to the
temperature and viscosity of the drilling fluid filtrate.
As mentioned in table 1, the T2distribution of the fracture reservoir changes obviously
with fracture aperture when a water-based drilling fluid is used, but does not change when an
oil-based drilling fluid is used.
Figure 7shows T2distributions for different types of drilling fluids, where TE =1.2 and
6 ms, respectively, and the magnetic field gradient is 18 ×104T cm1with MRIL. It can be
seen that when the echo spacing is short, T2distributions are very close for both water-based
and oil-based drilling fluid filtrates. When the echo spacing is long, T2distributions are different.
The diffusion coefficient of the oil-based drilling fluid filtrate is normally greater than that of
the water-based drilling fluid filtrate. The T2values of the fluid filtrate within fractures become
smaller with increasing echo spacing (figure 8), which caused the information about fractures
and small pores to overlap.
Figure 8shows the T2distribution with different echo spacings, where the fracture aperture
is 2 mm (left) and 20 mm (right) with a dip angle of 0 and an oil-based drilling fluid was used.
The T2distribution becomes narrow with increasing echo spacing. The T2distribution has no
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
10
Figure 8. T2distributions at oil-based drilling fluid with different echo spacings
and fracture apertures: d=2 mm (a) d=20 mm (b).
information about fracture when the echo spacing is greater than 3.6 ms. Therefore, if one wants
to detect fractures using NMR, echo spacing has to be planned very carefully.
3.4. Impact of antenna length
From equations (3)–(6), we see that the fracture porosity and matrix porosity will increase as the
antenna length decreases. The parameters are: echo spacing TE is equal to 1.2 ms; the fracture
aperture dis equal to 0.05, 0.1, 0.2, 0.5, 0.8, 0.9, 1, 1.2, 1.5, 1.8 and 2 mm, respectively; the
fractures are filled with a water-based drilling fluid filtrate; the antenna length is 24 and 6 inches,
respectively; the magnetic field gradient is 18 ×104T cm1; the simulated and inverted T2
distribution in the fracture reservoir is shown in figure 9; the 6 inch antenna gets a higher vertical
resolution than the 24 inch one; when dreaches 0.8 mm, the T2distribution contains fracture
information.
Figure 10 shows the impact of dip angle on T2distribution. The effect is not so obvious
when Lequals 24 inches but is obvious when Lequals 6 inches.
4. Conclusions
Through theoretical analysis and numerical simulation, it can be concluded that NMR logging
has a clear response at fracture reservoirs and is associated with many factors, such as fracture
aperture, fracture number, fracture dip angle and drilling fluids.
1. If the fracture aperture increases, the T2of a fluid-saturated fracture will also increase
correspondingly. The larger the fracture aperture, the more obvious the response of NMR
logging.
2. With increasing fracture aperture, the peak of T2distribution gradually increases. The
NMR logging response at the fracture becomes more obvious as the number of fractures
increases.
3. The drilling fluid filtrate will affect the response of NMR logging. For different drilling
fluid filtrates with the same fracture parameters, the shape of T2distribution will be related
to echo spacing. When the echo spacing is small, T2distribution at the water-based drilling
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
11
Figure 9. T2distribution with different antenna lengths when oil-based drilling
fluid is used: (a) L=24 inches; (b) L=6 inches.
Figure 10. T2distribution with different antenna lengths when the dip angle
changes, where d=2 mm: (a) L=24 inches; (b) L=6 inches.
fluid filtrate is roughly the same as that at the oil-based drilling fluid filtrate. When the
echo spacing is big, the T2distribution at different drilling fluid filtrates will not be the
same.
4. The antenna length will affect the NMR logging response at the fracture reservoir. For a
short antenna, NMR logging is more sensitive to fractures.
New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
12
5. NMR logging may be applied to fracture evaluation if the fracture aperture is big enough.
When the fracture aperture is big enough, however, it is still strongly recommended to
integrate any other logging information, such as electronic FMI and ultrasonic scanning,
into NMR logging. Remember that NMR logging with a gradient magnetic field is a sliced
measurement, and it only responds to fracture when the slice measured intersects with the
fracture.
References
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New Journal of Physics 13 (2011) 045003 (http://www.njp.org/)
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Borehole nuclear magnetic resonance (NMR) is a powerful technology to characterize the petrophysical properties of underground reservoirs in the petroleum industry. The rising complexity of oil and gas exploration and development objectives, as well as the novel application contexts of underground reservoirs, have led to increasingly demanding requirements on borehole NMR technology including instrument design and related processing methods. This mini review summarizes the advances and applications of borehole NMR instruments along with some future possibilities. It may be helpful for researchers and engineers in the petroleum industry to understand the development status and future trends of borehole NMR technology.
... Since the NMR logs are more sensitive to changes in caliper log than conventional logs, where this occurs, we suggest the use of an integrated approach for estimation of petrophysical properties. Also, as pointed by Xiao and Li (2011) the existence of fractures can affect the NMR logging. Chi and Heidari (2014) state that NMR T2 distribution are affected by different aspects of fractures such as aperture, concentration, shape and size. ...
Article
Brazilian presalt account for more than 70% of petroleum production in the country. More than ten years after the announcement of its discovery, presalt carbonates remain presenting many challenges regarding their reservoir's characterization. Well log analysis and formation evaluation of carbonate rocks are difficult tasks due to the complex and heterogeneous nature of these rocks and its associated mineral phases such as magnesian clays (Mg-clays). This study proposes a new workflow for presalt reservoirs formation evaluation that incorporates nuclear magnetic resonance (NMR) logs in the estimation of petrophysical properties such as clay volume, porosity, water saturation and net pay. This workflow aims to be useful for initial assessments when a limited amount of data is available. We compare this approach with conventional methods widely applied in formation evaluation to verify the impact that use of different methodologies can have in the final assessments. These methods are applied in Barra Velha and Itapema formations of the Buzios Field, Santos Basin. Our results show that a hybrid method which combines NMR and conventional logs for clay content and water saturation is more robust for estimation of those properties in Barra Velha and Itapema formations. Clay content based on gamma-ray logs is more assertive to represent the shales observed in the Itapema Formation. However, clay content based on NMR logs is essential to properly identify Mg-clays in the Barra Velha Formation. Regarding the water saturation, the use of only Archie's equation can result in net pay regions below the oil-water contact if their parameters were not properly determined. An accurate determination of these parameters requires a huge amount of data and measurements that are not always available. So, the hybrid approach for water saturation shows that the use of NMR logs above the transition zone is an optimistic alternative to overcome the limitations of the Archie's equation in carbonate rocks. In general, effective porosity from NMR and neutron-density logs presented similar results. Nevertheless, NMR effective porosity was more accurate to regions with dolomitized and silicified carbonates and Mg-clays. In magnesian-clays interval, NMR effective porosity fitted two times better to the laboratory data than neutron-density effective porosity. So, in our analysis, the incorporation of NMR logs and its integration with conventional logs resulting in a hybrid approach provided a more assertive formation evaluation in the studied area, being essential its use in complex environments as presalt reservoirs.
... Usually, NMR application is based on the hypothesis that the formation is homogeneous. However, in many reservoirs, especially for unconventional reservoirs, pores or fractures [21] and even fluids of rock formation exhibit different properties not only along the depth and radial direction, but around the borehole. These situations will result in unexpected errors in porosity and permeability values, as well as incorrect evaluation of oil/gas location and perforation based on NMR measurements. ...
Article
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The research of borehole nuclear magnetic resonance (NMR) began in the 1950 s, but the maturity and large-scale applications of relevant instruments started in the mid-1990. To date, borehole NMR is an important means for borehole in-situ analysis and oil and gas evaluation, which significantly improves the success rate of exploration and the evaluation accuracy of oil and gas reservoirs. Its development has also contributed importantly to low-field and industrial NMR theories and experimental methodologies. Companies and individuals in the United States, China and other countries have developed the capabilities to engineer and deploy borehole NMR instruments and measurements independently. NMR imaging and evaluation of heterogeneous reservoirs and unconventional oil and gas are worldwide problems, involving the innovation of borehole NMR and the advanced manufacture of instruments and equipment. The commercial technology of borehole oil and gas exploration is highly competitive and proprietary. It is difficult to gain full insight into the details of the technologies and development from published literatures. Based on the research of the author's NMR laboratory at the China University of Petroleum (CUP), this paper reviews the core technologies of borehole NMR and its applications, discusses selected important issues that have not been fully solved, and looks forward to the direction and prospects of future development.
... Lesser work has been done for NMR logging applications in fractured and/or vuggy reservoirs. Xiao and Li [34] conducted a theoretical Baseline (B) and repeat (R), logged saturations for the well. Column 1 shows a neutron porosity and bulk density derived porosity log. ...
Chapter
This chapter provides an overview of well logging in carbonate formations from the perspective of CO2 sequestration projects. The chapter begins with a summary of the various types of logs such as gamma ray, neutron porosity, bulk density, resistivity, photoelectric, sonic, pulsed neutron capture, nuclear magnetic resonance, image log, and elemental spectroscopy. Next comes a discussion of analyses performed with these log outputs for characterizing attributes such as: facies, shale volume, porosity, permeability, fluid saturation, geomechanical properties, and fractures and vugs. This is followed by best practices for log interpretation, including data QA/QC and a typical workflow. A case study on well-log interpretation is then presented using two fields from the Northern Michigan Pinnacle reef trend. This example covers data acquisition, porosity analysis, integration of core and log data, facies analysis, and fractures and vugs. The application of machine learning to well logging data is presented next, beginning with a discussion of machine learning basics, which is followed by an example application for vug characterization. Collectively, these topics cover the most common set of conventional and emerging techniques that are relevant in the utilization of well logs for characterization of carbonate formations.
Article
Tight glutenite reservoirs characterization and effective hydrocarbon-bearing formation identification faced great challenge due to ultra-low porosity, ultra-low permeability and complicated pore structure. Fracturing fracture-building technique always needed to obtain deliverability because of poor natural productive capacity. Pore structure characterization and friability prediction were essential in improving such type of reservoir evaluation. In this study, fractured tight glutenite reservoirs in Permian Jiamuhe Formation that located in northwest margin of Junggar Basin, northwest China, were chosen as an example, and 25 typical core samples were drilled and simultaneously applied for mercury injection capillary pressure (MICP), nuclear magnetic resonance (NMR) and whole-rock mineral X-ray diffraction experiments. A novel method of synthetizing pseudo-pore-throat radius (Rc) distribution from porosity frequency spectra was established to characterize fractured formation pore structure. Quartz and calcite were considered as the fragile mineral, and rock mineral component ratio method was used to predict brittleness index. Meanwhile, the statistical model raised by Jin et al. (SPE J 20:518–526, 2015) was used to predict two types of fracture toughness. And then, brittleness index and fracture toughness were combined to characterize tight glutenite reservoirs friability. Combining with maximal pore-throat radius (Rmax, reflected rock pore structure) and friability, our target formations were classified into four clusters. In addition, relationships among pore structure, friability and daily hydrocarbon production per meter (DI) were analyzed, and a model to predict DI from well-logging data was established. Comparison of predicted DI with the extracted results from drill stem test (DST) data illustrated the reliability of our raised models. This would be valuable in determining optimal hydrocarbon production intervals and formulating reasonable developed plans.
Article
This study assesses the performance and limitations of slim-hole borehole nuclear magnetic resonance (NMR) technology from a hydrogeologic perspective in fractured, porous rock. NMR logging was carried out in dolomitic and sandstone bedrock boreholes at two research test sites in Ontario, Canada, where aquifer and aquitard units provide a range of clay contents as well as a variety of primary and secondary porosity types (e.g. discrete fractures, reefal structures, vugs and karstic conduits). Results were compared to core measurements, geophysical logs, and hydrogeophysical testing. The vertical response curve of the instrument tested was found to produce 60% of the signal from within a 0.2m span surrounding the measuring point. The repeatability of the total porosity measurements in stationary mode is excellent where the porosity is greater than 0.15. Below that threshold, repeatability is scattered at ±0.05 porosity about the mean, with the variability primarily within the clay- and capillary-bound fractions. The NMR porosity estimates agreed with core measurements to within ±0.04 porosity in both the dolostone and sandstone, but the correlation deteriorates in finely bedded lithologies, and where fracturing is present. Much of the discrepancy is attributed to scaling in a finely layered geologic sequence, as the core samples are much smaller than the entire volume measured with NMR probes. Data collection with the probe in motion (continuous logging) added variability to the response when compared to stationary recordings. Although broadscale trends were comparable, the details and depth-specific insights of the bound fluid fractions varied with logging rates. Overall, NMR provides a robust measurement of the bulk matrix porosity and pore size distribution of lithologies intersected, both of which are critically important parameters in understanding hydrogeologic conditions and contaminant distributions in layered sedimentary rock systems.
Conference Paper
Tight sandstone reservoirs characterization and evaluation is very difficult based on conventional well log data owing to the extremely low porosity and permeability, and strong heterogeneity. The main accumulation spaces of conventional reservoirs are intergranular pores, and the pore size is the main controlling factor of permeability. However, besides intergranular pores, fractures play much greater important role in accumulating hydrocarbon, improving the pore connectivity and pore structure in tight sandstone reservoirs. Hence, it should be accurately predicted the pore structure dredged by fractures to improve the characterization of tight sandstone reservoirs. Generally, nuclear magnetic resonance (NMR) logging is an effective method to evaluate formation pore structure. However, it cannot be well used in fractured reservoirs because the NMR T2 spectra has no any response for fractures with width <2mm. The borehole electrical image log is usable in characterizing fractured reservoirs. The pore spectrum, which is extracted from the borehole electrical image log, can be used to qualitatively reflect the pore size. Hence, it will play an important role in fractured reservoirs pore structure characterization. In this study, based on the comprehensive analysis of the pore spectra, the corresponding mercury injection capillary pressure (MICP) data and pore-throat radius distributions acquired from core samples, a relationship that connects the 1/POR and capillary pressure (Pc) is proposed. Established a model based on formation classification to transform porosity spectrum into pseudo capillary pressure curve. In addition, a Swanson parameter-based permeability prediction model is also developed to extract fractured formation permeability. Meanwhile, to verify the superiority and otherness of borehole electrical image and NMR log, the model that evaluated reservoirs pore structure from NMR log is also established. Based on the application of the proposed method and models in actual formations, the evaluated pore structure parameters and permeabilities from two types of well log data are compared. The results illustrates that in formations with relative good pore structure, the predicted pore structure parameters and permeabilities from these two types of well log data agree well with the drill stem testing data and core-derived result. However, in low permeability sandstones with relatively poor pore structure, the porosity spectra can be well used to evaluate the pore structure, whereas the characterized pore structure from NMR log is overestimated. With the comprehensive research of reservoirs pore structure and permeability, the fractured tight sandstone formations with development value are precisely identified. This proposed method has greatest advantages that the pore structure of fractured reservoirs can be characterized, and the contribution of fractures to the pore connectivity and permeability can be quantified. it is usable in tight sandstone reservoirs validity prediction.
Article
Most existing permeability correlations for carbonates assume that vugs do not contribute to permeability. This may not always be the case, since vugs may be connected in some formations and contribute to the permeability. The objectives of this work are to identify vug connectivity by using X-ray CT scan and thin-section images of carbonates and to improve the NMR correlation for carbonates system. Six carbonate samples from Yates West Texas field were studied. Porosity and permeability of each sample were measured. The pore size distribution of these rocks is characterized by mercury porosimetry and NMR T 2 measurements. Thin sections in the horizontal and vertical directions were prepared from the end pieces of the samples and were analyzed by using optical microscope. CT scanning of the core materials shows that porosity varies significantly along the core length. Some samples also show very distinct preferentially flow path, which affected the oil recovery. As revealed by the thin section analysis, the permeability of the samples studied is controlled either by the intergranular porosity or by the small channel that connects different vugs. The results of capillary pressure and NMR T 2 measurement shows multimodal pore throat and pore body size distributions. The permeability is estimated by using effective medium approximation. All parameters used in effective medium approximation are derived from NMR T 2 distribution by fitting with trimodal Weibull distribution. A better understanding of the contribution of vugs to permeability of carbonates is developed from this study.
Article
Aiming at the attributes of Budate reservoir, finite-difference method based on resistor network is applied to modeling of dual laterolog for igneous reservoirs with parallel fractures and net-fractures. The dual laterolog responses was calculated for the reservoirs in case of a series of parallel fractures, two series of parallel fractures in different angle, and net-fractures with invasion. The log characteristics are summarized for the parallel fractures and net-fracture system: high dip parallel fractures induce positive difference on dual laterolog, and low dip corresponds to negative difference. Both dip and angle of two series of parallel fractures that form a net-fracture system influence the response. If the angle is small, the laterolog response tends to that of a series of parallel fractures. As the angle grows, the resistivity drops down and the influence of dip tends to diminish. The existence of mud invasion leads to positive difference on dual laterolog, and makes the effect of dip and angle vaguer. The results will provide theoretical basis for the identification and evaluation of reservoirs of these types.
Conference Paper
The environmental settings of pelagic deposits in fields of the Cretaceous section of southern Mexico conflict with the tectonic features of this region. The sedimentary sequence has been deformed by compressive stresses and other tectonic effects (for example induced by salt intrusion) of varying velocity and intensity. Because the main producing reservoir is made up compacted carbonate rocks, the oil content and producibility are extremely influenced by the presence of fractures. Formation evaluation from conventional wireline logs is difficult because of the complex lithology (mixture of calcite and dolomite) and the rock texture (very low primary porosity, closed and open fractures, complex breccia texture and presence of vugs). Despite significant improvements in the estimation of porosity, grain density and true resistivity, conventional log evaluation of water saturation is insufficient to predict the producibility of a well. This paper will discuss the use of borehole resistivity images for fracture evaluation and recognition of rock textures and the use of nuclear magnetic resonance (NMR) logs for porosities (both effective and secondary) and permeability to complement conventional logging techniques and increase initial production flow rates. Hydrocarbons are produced through natural fractures caused by compressional stresses within the tight carbonate reservoir or the highly cracked and broken breccia. Productive zones identified with this new approach are fitting production tests, illustrating the fact that these carbonate sediments have high potential for hydrocarbon production only if the fracture and microfracture networks can be clearly recognized and identified within the thick carbonate sequence.
Article
Regarding all pores in rock as a system consisting of spherical pore and capillary pores, this paper presents a model of Sphere-Capillary. After all pores are divided into different groups by their radii, the relaxation time of each group can be calculated with the Sphere-Capillary Model. The transversal relaxation time (T2i), spaced on the Sphere-Capillary Model, can be utilized to conduct the inversion of NMR relaxation signal. Our research suggests that the T2 distributions from the inversion are relative to special pore structures defined by the Sphere-Capillary model. Using different Sphere-Capillary Models to derive different relaxation times, then conduct the inversion relaxation signal with the relaxation time. When a T2 distribution fits the relaxation signal in the least squares, the pore structure defined by the Sphere-Capillary Model characterizes the pore system in rock best. Data from lab NMR measurements are analyzed with the Sphere-Capillary Model, and the results are compared with the pressure data from mercury injection. This research shows that the Sphere-Capillary Model describes properly the relaxation characteristic relative to pore structure. Furthermore, the relaxation characteristic may hold a relationship with pore fluids.
Article
Most existing permeability correlations for carbonates assume that vugs do not contribute to permeability. This may not always be the case, since vugs may be connected in some formations and contribute to the permeability. The objectives of this work are to identify vug connectivity by using X-ray CT scan and thin-section images of carbonates and to improve the NMR correlation for carbonates system. Six carbonate samples from Yates West Texas field were studied. Porosity and permeability of each sample were measured. The pore size distribution of these rocks is characterized by mercury porosimetry and NMR T2 measurements. Thin sections in the horizontal and vertical directions were prepared from the end pieces of the samples and were analyzed by using optical microscope. CT scanning of the core materials shows that porosity varies significantly along the core length. Some samples also show very distinct preferentially flow path, which affected the oil recovery. As revealed by the thin section analysis, the permeability of the samples studied is controlled either by the intergranular porosity or by the small channel that connects different vugs. The results of capillary pressure and NMR T2 measurement shows multimodal pore throat and pore body size distributions. The permeability is estimated by using effective medium approximation. All parameters used in effective medium approximation are derived from NMR T2 distribution by fitting with trimodal Weibull distribution. A better understanding of the contribution of vugs to permeability of carbonates is developed from this study.
Article
Determination of suitable techniques and analyses that can be implemented by NMR well logging can greatly improve the characterization of underground petroleum reservoirs and aquifers. In this paper, the feasibility for using various NMR methods for detection and characterization of fractures is explored. Analyses of experimental data obtained with a variety of samples are presented. It is shown that relaxation contrasts are useful for separating the signal contributions from fluids in the fractures and the porous matrix, and that relaxation weighting can be used in combination with other NMR techniques for enhancing fracture characterization.
Article
Fracture aperture is an important transport property in subsurface hydrology because it influences well productivity and the volume of the water resource. Nuclear magnetic resonance (NMR) well logging measures the hydrogen-bearing fluid molecules in porous or fractured strata, and the NMR signal intensity increases with the amount of fluid in the sensed region of the NMR sonde. Fluid confined in a large fracture of >>0.2 mm in aperture has T2 (i.e. spin-spin relaxation time) values as long as those of the bulk fluid. The bulk-fluid porosity (i.e. porosity calculated using this long T2 component in a T2 histogram data) increases linearly with aperture. Therefore, NMR logging enables quantitative estimation of fracture apertures of >>0.2 mm using the bulk-fluid porosity data if the calibration of the NMR sonde is performed adequately. We applied NMR logging to a borehole in a Holocene andesite lava at Sumikawa, Japan, to estimate the aperture of open fractures within the lava. A test well of 100 m depth and 20 cm diameter, filled with bentonite drilling mud, was scanned with an NMR sonde to obtain a profile of the porosity and the T2 histogram of the andesite. The bulk-fluid porosity was calculated from the T2 histogram data, as the porosity at which the T2 value is larger than or equal to a threshold T2 of bulk bentonite mud. The bulk-fluid porosity of a specific inclined fracture responsible for the total loss of circulation at 61.2 m depth during drilling was calculated assuming a threshold or T2 cut-off of 33 ms, and again for a cut-off of 100 ms. Calibration of the NMR sensor in a laboratory and measurement of the fracture dip angle by electrical microimaging logging enabled us to estimate the fracture aperture as 1.7 cm, assuming a T2 cut-off of 33 ms, or 1.6 cm for a T2 cut-off of 100 ms. The method of aperture determination described in this study is independent of fluid species and lithology, and is applicable to various hydrogen-bearing borehole fluids (clean water, mud and oil) and geological settings.
The application of MRIL in exploration of deep layer gas Well Logging Technol
  • Y Q Zhu
  • Y Fu
Zhu Y Q, Fu Y S and Yang X L 1998 The application of MRIL in exploration of deep layer gas Well Logging Technol. (in Chinese) 22 (Suppl.) 77-80
Application of imaging and nuclear magnetic resonance to assessment of fractured reservoir in Cheng Bei
  • H Wu
Wu H Y and Zhu L F 2002 Application of imaging and nuclear magnetic resonance to assessment of fractured reservoir in Cheng Bei (in Chinese) Oil Gas Geol. 23 45–48