Javascript must be enabled to continue!
A Multi-Purpose Reservoir Characterization Model
View through CrossRef
Abstract
The ultimate goal of petroleum engineering science is to maximize oil recovery at a minimum cost. This goal can be achieved by better understanding the heterogeneous nature of the reservoir rock. Reservoir characterization is considered the key to optimum oil exploration and exploitation.
The major goal of this research is to develop a multi-purpose reservoir characterization model capable of producing an effective reservoir description as well as an economical reservoir characterization. This model is developed to achieve the following purposes: (1) reservoir description of clean and shaly heterogeneous reservoirs using laboratory and/or in-situ (porosity and permeability) measurements, (2) robust and economical reservoir characterization of reservoir rock by using the concept of reservoir quality index in combination with various stress conditions during the extended life of an oil reservoir, and (3) investigate the effect of oil production (or stress) on reservoir characterization of clean and/or shaly heterogeneous reservoirs.
The newly proposed multi-purpose model incorporates petrophysical (porosity, permeability, and reservoir quality index), mechanical (effective stress, pore pressure, and average pore compressibility) properties and mechanics of fluid flow through porous media. Multiple cases are included to validate and illustrate the applications of the model in various situations considering different conditions of reservoir rock.
Title: A Multi-Purpose Reservoir Characterization Model
Description:
Abstract
The ultimate goal of petroleum engineering science is to maximize oil recovery at a minimum cost.
This goal can be achieved by better understanding the heterogeneous nature of the reservoir rock.
Reservoir characterization is considered the key to optimum oil exploration and exploitation.
The major goal of this research is to develop a multi-purpose reservoir characterization model capable of producing an effective reservoir description as well as an economical reservoir characterization.
This model is developed to achieve the following purposes: (1) reservoir description of clean and shaly heterogeneous reservoirs using laboratory and/or in-situ (porosity and permeability) measurements, (2) robust and economical reservoir characterization of reservoir rock by using the concept of reservoir quality index in combination with various stress conditions during the extended life of an oil reservoir, and (3) investigate the effect of oil production (or stress) on reservoir characterization of clean and/or shaly heterogeneous reservoirs.
The newly proposed multi-purpose model incorporates petrophysical (porosity, permeability, and reservoir quality index), mechanical (effective stress, pore pressure, and average pore compressibility) properties and mechanics of fluid flow through porous media.
Multiple cases are included to validate and illustrate the applications of the model in various situations considering different conditions of reservoir rock.
Related Results
Dynamic Characterization of Different Reservoir Stacked Patterns for a Giant Carbonate Reservoir in Middle East
Dynamic Characterization of Different Reservoir Stacked Patterns for a Giant Carbonate Reservoir in Middle East
Abstract
Understanding reservoir stacked styles is critical for a successful water injection in a carbonate reservoir. Especially for the giant carbonate reservoirs,...
Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data
Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data
Abstract
Reservoir fluid estimation for exploration prospects can be random and of large uncertainties. Typically, the reservoir fluid estimation in a prospect can b...
Genetic-Like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data
Genetic-Like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data
This reference is for an abstract only. A full paper was not submitted for this conference.
Abstract
Descr...
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
SummaryIn a recent paper, we published a machine learning method to quantitatively predict reservoir fluid gas/oil ratio (GOR) from advanced mud gas (AMG) data. The significant inc...
Dynamic Characterization of Different Reservoir Types for a Fractured-Caved Carbonate Reservoir
Dynamic Characterization of Different Reservoir Types for a Fractured-Caved Carbonate Reservoir
Abstract
Understanding reservoir types or reservoir patterns is critical for a successful development strategy decision in carbonate reservoirs. For the fractured-ca...
New Perspectives for 3D Visualization of Dynamic Reservoir Uncertainty
New Perspectives for 3D Visualization of Dynamic Reservoir Uncertainty
This reference is for an abstract only. A full paper was not submitted for this conference.
Abstract
1 Int...
Granite Reservoir Prediction Based on Amplitude Spectrum Gradient Attribute Post-Stack Cube Attribute and Pre-Stack Fracture Prediction with Wide Azimuth Seismic Data
Granite Reservoir Prediction Based on Amplitude Spectrum Gradient Attribute Post-Stack Cube Attribute and Pre-Stack Fracture Prediction with Wide Azimuth Seismic Data
Abstract
Granite "buried hill" oil pool is an unconventional oil pool which can be formed a large and highly effective oilfield in some basins such as Bach Ho oilfie...
Enhancing reservoir characterization with integrated petrophysical analysis and geostatistical methods
Enhancing reservoir characterization with integrated petrophysical analysis and geostatistical methods
Reservoir characterization is a critical aspect of hydrocarbon exploration and production, providing essential insights into reservoir properties, fluid behavior, and potential pro...

