Morteza AsemaniKharazmi University | KHU · Department of Geology
Morteza Asemani
Ph.D.
About
21
Publications
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Introduction
Collaboration on a different aspect of geochemistry studies (e.g., organic, petroleum, reservoir, environmental), asphaltenes characterization, and spectroscopy (e.g., FTIR, NMR) are welcomed. My email: m.asemani@aut.ac.ir
Publications
Publications (21)
The steam-based and in-situ combustion methods are classical, well-known, and routine thermal methods for recovering heavy crude oils in the oil industry. The limitations and challenges of these methods have motivated researchers to explore new thermal methods for increasing oil recovery, eliminating the restriction of conventional methods, expandi...
Light hydrocarbons are beneficial compounds to achieve geochemical information from condensates. Due to lower concentrations of biomarkers in condensates, the limited applicability of these compounds can be compensated by light hydrocarbons in the geochemical studies. For the first time, the condensates of Iranian gas condensate fields in Gavbendi...
Reconstruction of migration pathways and filling points in a field provides critical information about the location of the source kitchen and future exploration prospects in the study area. This issue is routinely performed with pyrrolic nitrogen compounds. However, these molecular indicators have encountered some limitations. The alternative solut...
Reservoir compartmentalization is an essential phenomenon in the different life cycles of oilfield production. This concept is crucial for the economic assessment of field development plans because it influences future decisions and designs. Hence, early and fast identification of reservoir compartmentalization is highly appreciated in the oil indu...
Chemometric analysis was performed on 19 crude oil samples from 14 different oil fields to reveal oil families and their distributions in the Northern Dezful Embayment Zone. The geochemical characteristics and candidate source rock(s) of the defined oil families were also investigated in this study. The chemometric classification revealed three dif...
This chapter deals with the different scenarios of the combined chemical methods for enhanced oil recovery (EOR) purposes. The efficiency of each method depends on the chemical agents injected into the reservoir, specializing in decreasing the bypassing flow or residual crude oils. The simultaneous or alternative use of different injectants provide...
The ability of geochemistry techniques in reservoir-continuity studies has already been proved. Most of the traditional methods mainly involve analyzing nonpolar components of crude oil and overlooking polar components. Despite valuable information obtained from
nonpolar components, these compounds are sometimes affected by various alterations or l...
The genetic classification is commonly performed by the utilization of a few interpretive biomarker ratios (e.g., 14 peak ratios) in chemometric methods. In this paper, a novel workflow with higher efficiency in revealing subtle differences between samples was suggested to solve the limitations of traditional methods. The peak areas of selected sou...
The Shadegan oil field is one of the fields in the central part of the Dezful Embayment. Little or no geochemical studies have been performed previously in this field. This paper provides valuable information to answer most of the geochemistry ambiguities and issues in this field. Different techniques were used to investigate the genetic types of A...
The Shadegan oil field is one of the fields in the central part of the Dezful Embayment. Little or no geochemical studies have been performed previously in this field. This paper provides valuable information to answer most of the geochemistry ambiguities and issues in this field. Different techniques were used to investigate the genetic types of A...
Asphaltenes are macromolecule compounds in the reservoir oil, which they have structural similarity with kerogen. This characteristic provides invaluable applications in geochemical studies. In this project, the oil fingerprint assessment, oil-oil correlation, and obtaining kinetics parameters were investigated on the asphaltenes of 46 oil samples...
Asphaltenes are being a proxy of kerogen in the reservoir oil, which they have structural similarity. This characteristic provides an invaluable tool for obtaining oil fingerprints from the structural composition of asphaltenes. Since these compounds are classically defined as a solubility class, they constitute a large number of compound types wit...
Oil-oil correlation is one of the most important issues in geochemical studies that enables to
classify oils genetically. Oil-Oil correlation is generally estimated based on non-polar fractions
of crude oil (e.g., saturate and aromatic compounds). Despite several advantages, the drawback
of using these compounds is their susceptibility of being aff...
Asphaltene is always considered as a problem in the oil industry. But, asphaltenes are desirable compounds in geochemical studies, especially in oil-oil correlation. Oil-oil correlation is one of the most important issues in geochemical studies that enables to classify oils genetically. Asphaltenes due to their structural similarity with kerogen an...
In this paper, a new technique with easy interpretation , low cost, and reliable results is presented for oil-oil correlation purpose. In this technique, the structural characterization of asphaltene, because of its structural similarity with kerogene and resistance to secondary processes (e.g., migration, biodegradation, thermal maturity, and so o...
Questions
Questions (2)
I want to analyze Whole Oil by GC for geochemical fingerprinting. Can anyone suggest me the best procedure for preparation of crude oil sample before injection?
I read in some references which suggest a dilution of crude oil by N-pentane or N-hexane. Whether these solvents are the best for Whole Oil GC or other procedures should I follow?
I want to have 3 component mixture design. Binary blend of 2 special components are impossible. In other word, I have 3 solvent A, B and C. Unfortunately solvent A and C can not blend with each other. Other binary and ternary blends are possible. How can i design a mixture design to meet this objective?