Javascript must be enabled to continue!
Seismic Models of the Barik Reservoir
View through CrossRef
Abstract
Seismic modeled responses for known geological models, often using well logs, help interpret field seismic data for reservoir characterization. The seismic response of the Barik reservoir is investigated based on its properties as revealed by well logs. The porous Middle Barik manifests itself on the synthetic seismic data within the relevant bandwidth of the available seismic. In the Extended Elastic Impedance domain, chi projections of +30 and -60 appear to separate sand from shale lithology, and relatively high from low porosity in the Barik reservoir, respectively. Various models of the Barik reservoir are also built. These include ones with varying rock properties, thicknesses, and porosity. In the models with varying rock properties, the AVO signature of the Barik sand changes from class IV when the change in Vp/Vs ratio at the interface is weak, to class II or III in other cases. Effects of changes in fluid type are negligible, although a gas charged Barik sand exhibit strong AVO intercept and gradient amplitudes. The AVO behavior of the Barik sand is also dependent on its thickness. A thicker Barik sand shows class IV AVO with a strong negative intercept and positive gradient, whereas one that is half as thick displays class II AVO with a weak negative intercept and negative gradient. The porosity of the Barik sand influences its AVO behavior. The insitu and relatively low porosity Barik sand show class IV AVO with a sharply decreasing gradient for tighter Barik, whereas a higher porosity Barik sand showed a stronger gradient. Lastly, the frequency-dependent AVO signature of the Barik reservoir is investigated. The analysis revealed that the fluid signature is indistinguishable at 20 Hz but may be distinguished at 30 Hz.
Title: Seismic Models of the Barik Reservoir
Description:
Abstract
Seismic modeled responses for known geological models, often using well logs, help interpret field seismic data for reservoir characterization.
The seismic response of the Barik reservoir is investigated based on its properties as revealed by well logs.
The porous Middle Barik manifests itself on the synthetic seismic data within the relevant bandwidth of the available seismic.
In the Extended Elastic Impedance domain, chi projections of +30 and -60 appear to separate sand from shale lithology, and relatively high from low porosity in the Barik reservoir, respectively.
Various models of the Barik reservoir are also built.
These include ones with varying rock properties, thicknesses, and porosity.
In the models with varying rock properties, the AVO signature of the Barik sand changes from class IV when the change in Vp/Vs ratio at the interface is weak, to class II or III in other cases.
Effects of changes in fluid type are negligible, although a gas charged Barik sand exhibit strong AVO intercept and gradient amplitudes.
The AVO behavior of the Barik sand is also dependent on its thickness.
A thicker Barik sand shows class IV AVO with a strong negative intercept and positive gradient, whereas one that is half as thick displays class II AVO with a weak negative intercept and negative gradient.
The porosity of the Barik sand influences its AVO behavior.
The insitu and relatively low porosity Barik sand show class IV AVO with a sharply decreasing gradient for tighter Barik, whereas a higher porosity Barik sand showed a stronger gradient.
Lastly, the frequency-dependent AVO signature of the Barik reservoir is investigated.
The analysis revealed that the fluid signature is indistinguishable at 20 Hz but may be distinguished at 30 Hz.
Related Results
4D Seismic on Gullfaks
4D Seismic on Gullfaks
SUMMARY
New technologies are rapidly emerging helping to obtain optimal drainage of large reservoirs. 4D seismic is such a reservoir monitoring technique. The phy...
Stochastic Rock Physics Inversion
Stochastic Rock Physics Inversion
Abstract
The purpose of this paper is to introduce a stochastic seismic inversion algorithm based on Markov Chain Monte Carlo Simulation. The suggested inversion ...
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Abstract
Mapping and discrimination of Upper Jurassic Arab reservoirs (Arab A/B/C and D) in this 3D seismic onshore field of Abu Dhabi, is very sensitive to the seis...
Seismic Motion Inversion Based on Geological Conditioning and Its Application in Thin Reservoir Prediction, Middle East
Seismic Motion Inversion Based on Geological Conditioning and Its Application in Thin Reservoir Prediction, Middle East
Abstract
With the development of exploration and development, thin reservoir prediction is becoming more and more important. However, due to the limit of seismic res...
Carbonate Seismic Facies Analysis in Reservoir Characterization: A Machine Learning Approach with Integration of Reservoir Mineralogy and Porosity
Carbonate Seismic Facies Analysis in Reservoir Characterization: A Machine Learning Approach with Integration of Reservoir Mineralogy and Porosity
Amid increasing interest in enhanced oil recovery and carbon geological sequestration programs, improved static reservoir lithofacies models are emerging as a requirement for well-...
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...
Reservoir-oriented migrated seismic image improvement and poststack seismic inversion using well-seismic mistie
Reservoir-oriented migrated seismic image improvement and poststack seismic inversion using well-seismic mistie
Abstract
In seismic exploration of subsurface hydrocarbon reservoirs, migrated seismic images are the foundation of structural interpretation and subsequent seism...
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...

