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Poroelastic and Seismic Characterization of Heterogeneous Reservoir Rocks

Poroelastic and Seismic Characterization of Heterogeneous Reservoir Rocks
Author: Luanxiao Zhao
Publisher:
Total Pages:
Release: 2014
Genre: Geophysics
ISBN:

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The primary focus of this dissertation is to link the poroelastic model that couples rock's elastic and hydraulic properties to seismic characterization of the heterogeneous reservoirs. I have presented how to incorporate the dynamic poroelastic responses of microscopic and mesoscopic flow into the classical Biot theory. The resulting effective Biot media can capture the characteristics of velocity dispersion and wave attenuation in heterogeneous media. On the basis of this effective Biot media, I developed an approach to quantify the impact of both global flow and local flow simultaneously on the signatures of seismic reflectivity. The computed poroelastic reflections not only depend on the elastic properties contrast and incident angle, but also rely on the fluid mobility and observational frequency. For a typical shale-sand reflector, we find that the effect of local flow causes reflection amplitude variations in frequency to be as high as 40%, and a maximum phase shift as high as 12 degrees at the seismic exploration frequency band. However, the global flow effect on reflectivity is almost trivial (


Integrating Rock Physics and Seismic Inversion for Reservoir Characterization in the Gulf of Mexico

Integrating Rock Physics and Seismic Inversion for Reservoir Characterization in the Gulf of Mexico
Author: Oyedoyin Opeoluwa Oyetunji
Publisher:
Total Pages:
Release: 2013
Genre:
ISBN:

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Seismic amplitude study is a crucial aspect in reservoir characterization as it helps to analyze seismic responses before interpretation. In this study, an attempt was made to identifying the reservoirs present in the High Island field at well locations. Rock physics modeling and seismic inversion were applied in an integrated approach to study the seismic response of these reservoirs and also delineate other hydrocarbon-charged reservoirs in the field. New elastic logs were generated and subsequently used for the rock physics analyses. Rock-property models using well-log data from the study area were evaluated. These models were used in analyzing the sand and shale log response of the study area. Well-log inversion is also carried out by minimizing the difference between modeled and measured logs. The cross-plot analyses from wells successfully distinguished between fluids and lithology effect in the area, these were subsequently confirmed by AVO modeling. The result showed that lower values of Lambda-Rho, Vp/Vs ratio and impedance values correlated with areas containing hydrocarbons. Three-dimensional seismic interpretation was also carried out to provide structural and stratigraphic information of the study area; the horizons reflect structural features including faults which could serve as a trapping mechanism for hydrocarbons. The picked horizons were used to guide the interpolation of the initial model used during seismic inversion. The seismic inversion helped delineate hydrocarbon reservoirs and also aided the propagation of reservoir parameters to include areal extent of the reservoir and to see how this varies within the field.


Rock-physics and 3C-3D Seismic Analysis for Reservoir Characterization

Rock-physics and 3C-3D Seismic Analysis for Reservoir Characterization
Author: Fabiola Del Valle Ruiz Pelayo
Publisher:
Total Pages:
Release: 2016
Genre: Geophysics
ISBN:

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The elastic properties (density and velocity) of organic shales are largely controlled by kerogen content, porosity, clay content, and e ective pressure. Since surface-seismic measurements can have a complicated dependence on rock properties, it is essential to understand the relationship between the elastic response and variations in rock properties to correctly assess the target reservoir. In this sense, a combination of rock-physics and seismic modeling is applied to relate variations in key properties, such as kerogen content and porosity, to di erences in the elastic response of a 3C-3D seismic volume in the Marcellus Shale (Bradford County, Pennsylvania). Well log analysis and rock physics modeling indicate that density is more sensitive to kerogen content than Vp/Vs or P impedance. Organic-rich intervals (kerogen content > 6 wt. %) are characterized by densities lower than 2.5 g/cc. Vp/Vs and P-impedance are more sensitive to variations in clay content than density; Vp/Vs values lower than 1.6 are attached to clay content lower than 25 %. The interplay between mineralogy and kerogen content causes an increase in velocity in the organic-rich interval, where the e ect of kerogen on the elastic moduli seems to be masked by a decrease in clay content and increase in quartz and calcite. Elastic AVA modeling shows that the sensitivity to the presence of the organic-rich facies increases with angle for both PP and PS (converted-wave) reflections. Additionally, the compressibility seems to be more sensitive to the organic-rich facies than the rigidity. A comparison between PP and PP-PS inversions show that the addition of PS data decreases the P-impedance, S-impedance and density estimation errors by 58, 80, and 17 %, respectively. We used this procedure to create 3D-density maps to indicate promising reservoir quality. These predictions suggest good reservoirs where two gas wells (not used in the analysis) are producing.


Rock Properties, Seismic Modeling, and 3C Seismic Analysis in the Bakken Shale, North Dakota

Rock Properties, Seismic Modeling, and 3C Seismic Analysis in the Bakken Shale, North Dakota
Author: Andrea Gloreinaldy Paris Castellano
Publisher:
Total Pages:
Release: 2017
Genre: Geophysics
ISBN:

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A solid understanding of the factors that affect the seismic velocity and the amplitude variation with offset (AVO) is imperative for a reliable interpretation of seismic data and related prospect de‐risking. To understand the relationship between rock properties and their elastic response (i.e. velocity and density), petrophysical properties, rock‐physics, seismic modeling, and fluid substitution are analyzed. Seismic inversions and statistical predictions of rock properties are integrated to delimit prospective intervals and areas with high total organic carbon (TOC) content within the Bakken Formation, North Dakota. The shale intervals can be recognized by cross‐plotting well logs velocities versus density. The hydrocarbon potential is observed on logs as low densities, high gamma‐ray response, low P and S‐wave velocities, and high neutron porosities. Organicrich intervals with TOC content higher than 10 wt. % deviate from the ones that have lower TOC in the density domain, and exhibit slightly lower velocities, lower densities ( 2.3 g/cc), and a generally higher shale content ( 40%). Within the study area, Well V‐1 shows the highest TOC content, especially at the Upper Bakken depths with approximately 50% of clay volume. TOC is considered to be the principal factor affecting changes in density and P and S‐wave velocities in the Bakken shales. Vp/Vs ranges between 1.65 and 1.75. Synthetic seismic data are generated using the anisotropic version of Zoeppritz equations including estimated Thomsen parameters. For the tops of Upper and Lower Bakken, the amplitude becomes less negative with offset showing a negative intercept and a positive gradient which correspond to an AVO Class IV. A comparison between PP and PP‐PS joint inversions shows that the P‐impedance error decreases by 14% when incorporating the converted‐wave information in the inversion process. A statistical approach using multi‐attribute analysis and neural networks allows to delimit the zones of interest in terms of P‐impedance, density, TOC content, and brittleness. The inverted and predicted results show fair correlations with the original well logs. The integration between well‐log analysis, rock‐physics, seismic modeling, constrained inversions and statistical predictions contribute in identifying the vertical distribution of good reservoir quality areas within the Bakken Formation.


Fault and Fracture Identification and Characterization in 3D Seismic Data from Unconventional Reservoirs

Fault and Fracture Identification and Characterization in 3D Seismic Data from Unconventional Reservoirs
Author: Noha Sameh Farghal
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

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Unconventional reservoirs are becoming increasingly important on the world energy stage. Such reservoirs are hydrocarbon sources that need stimulation of some kind in order to be produced in an economically viable way, unlike conventional sources, where oil or gas readily flows into producing wells through more permeable strata. In recent years, unconventional reservoirs have proven to be highly important in North America and have, despite some setbacks and shutdowns, survived reductions in oil and gas prices. A big part of this can be attributed to exploration companies' ability to extract unconventional hydrocarbons with good efficiency, which is in turn attributed to enhanced understanding of the physical dynamics of such reservoirs due to a large body of work done by researchers. Nevertheless, unconventional recovery factors are still considerably low, and further research contributions are needed to better understand how these reservoirs work and interact with stimulation. In this thesis, I focus on the role that faults and fractures play in low permeability reservoirs' response to stimulation, particularly hydraulic fracturing. I analyzed three data sets acquired from and around injection and monitoring wells in the Barnett Shale in Texas. In two of these data sets, I identified small-scale faults and integrated faulting information with other data from wells (e.g. microseismic recordings) to understand how the presence of faults affects injected fluid flow. Results showed that even small-scale faults can have significant effects on hydraulic fracturing progress by providing corridors for fluid flow along them (a high permeability path due to fractures surrounding faults) or by dissipating fluid pressure across them, preventing fluids from effectively crossing to the other side of the fault. For one data set with different seismic surveys acquired before and after stimulation and gas production, I used 3D seismic attribute analysis to identify fractures in and around injection wells to evaluate the methods used, namely azimuth-dependent Amplitude Vs. Offset (AzAVO) and Velocity Vs. Azimuth (VVAz), and to understand how stimulation and production affected fractures in this area of the Barnett. Results showed that fracture density, rather than orientation, is more affected by the pressure introduced during stimulation and by pressure reduction with injected fluid removal and production. I also used well logs to determine the effects of mineral and organic matter content on important rock properties such as porosity. I compared results obtained on small samples (cores) in the laboratory with my results obtained from well logs which are significantly dimensionally larger than cores analyzed in labs. I concluded from analyzing well logs that porosity, for example, is proportional to organic content. This conclusion is similar to that derived from laboratory findings: porosity in many shales resides in organic material such as Kerogen.