Javascript must be enabled to continue!
Hierarchical Geomodeling Approach for Ultra High Permeability Reservoir
View through CrossRef
Abstract
The lacustrine delta sandbody deposited in the north of Albert Basin is unconsolidated due to the shallow burial depth, which leads to an ultra-high permeability (up to 20 D) with large variation and poor diagenesis. Log derived permeability differs greatly with DST results. Thus, permeability simulation is challenging in 3D geomodeling. A hierarchical geomodeling approach is presented to bridge the gap among the ultra-high permeability log, model and DST results. The ultimate permeability model successfully matched the logging data and DST results into the geological model.
Based on the study of sedimentary microfacies, the new method identifies different discrete rocktypes (DRT) according to the analyis of core, thin section and conventional and special core analysis (e.g., capillary pressure). In this procedure, pore throat radius, flow zone index (FZI) and other parameters are taken into account to identify the DRT. Then, hierarchical modeling approach is utilized in the geomodeling. Firstly, the sedimentary microfacies model is established within the stratigraphic framework. Secondly, the spatial distribution model of DRT is established under the control of sedimentary microfacies. Thirdly, the permeability distribution is simulated according to the different pore-permeability relation functions derived from each DRT. Finally, the permeability model is compared with the logging and testing results.
Winland equation was improved based on the capillary pressure (Pc) data of special core analysis. It is found that the highest correlation between pore throat radius and reservoir properties was reached when mercury injection was 35%. The corresponding formula of R35 is selected to calculate the radius of reservoir pore throat. Reservoirs are divided into four discrete rock types according to parameters such as pore throat radius and flow zone index. Each rock type has its respective lithology, thin section feature and pore-permeability relationship. The ultra-high permeability obtained by DST test reaches up to 20 D, which belongs to the first class (DRT1) quality reservoir. It is located in the center of the delta channel with high degree of sorting and roundness. DRT4 is mainly located in the bank of the channels. It has a much higher shale content and the permeability is generally less than 50 mD. Through three-dimensional geological model, sedimentary facies, rock types and pore-permeability model are coupled hierarchically. Different pore-permeability relationships are given to different DRTs. After reconstructing the permeability model, the simulation results are highly matched with the log and DST test results.
This hierarchical geomodeling approach can effectively solve the simulation problem in the ultra-high permeability reservoir. It realizes a quantitative characterization for the complex reservoir heterogeneity. The method presented can be applied to clastic reservoir. It also plays a significant positive role in carbonate reservoir characterization.
Title: Hierarchical Geomodeling Approach for Ultra High Permeability Reservoir
Description:
Abstract
The lacustrine delta sandbody deposited in the north of Albert Basin is unconsolidated due to the shallow burial depth, which leads to an ultra-high permeability (up to 20 D) with large variation and poor diagenesis.
Log derived permeability differs greatly with DST results.
Thus, permeability simulation is challenging in 3D geomodeling.
A hierarchical geomodeling approach is presented to bridge the gap among the ultra-high permeability log, model and DST results.
The ultimate permeability model successfully matched the logging data and DST results into the geological model.
Based on the study of sedimentary microfacies, the new method identifies different discrete rocktypes (DRT) according to the analyis of core, thin section and conventional and special core analysis (e.
g.
, capillary pressure).
In this procedure, pore throat radius, flow zone index (FZI) and other parameters are taken into account to identify the DRT.
Then, hierarchical modeling approach is utilized in the geomodeling.
Firstly, the sedimentary microfacies model is established within the stratigraphic framework.
Secondly, the spatial distribution model of DRT is established under the control of sedimentary microfacies.
Thirdly, the permeability distribution is simulated according to the different pore-permeability relation functions derived from each DRT.
Finally, the permeability model is compared with the logging and testing results.
Winland equation was improved based on the capillary pressure (Pc) data of special core analysis.
It is found that the highest correlation between pore throat radius and reservoir properties was reached when mercury injection was 35%.
The corresponding formula of R35 is selected to calculate the radius of reservoir pore throat.
Reservoirs are divided into four discrete rock types according to parameters such as pore throat radius and flow zone index.
Each rock type has its respective lithology, thin section feature and pore-permeability relationship.
The ultra-high permeability obtained by DST test reaches up to 20 D, which belongs to the first class (DRT1) quality reservoir.
It is located in the center of the delta channel with high degree of sorting and roundness.
DRT4 is mainly located in the bank of the channels.
It has a much higher shale content and the permeability is generally less than 50 mD.
Through three-dimensional geological model, sedimentary facies, rock types and pore-permeability model are coupled hierarchically.
Different pore-permeability relationships are given to different DRTs.
After reconstructing the permeability model, the simulation results are highly matched with the log and DST test results.
This hierarchical geomodeling approach can effectively solve the simulation problem in the ultra-high permeability reservoir.
It realizes a quantitative characterization for the complex reservoir heterogeneity.
The method presented can be applied to clastic reservoir.
It also plays a significant positive role in carbonate reservoir characterization.
Related Results
Study on Physical Simulation Experimental Technology of Ultra-low Permeability Large-scale Outcrop Model
Study on Physical Simulation Experimental Technology of Ultra-low Permeability Large-scale Outcrop Model
Abstract
Ultra-low permeability reserves have accounted for a very large proportion of China's proven reserves and undeveloped reserves at present, so it is very ...
Permeability Prediction for Carbonates: Still a Challenge?
Permeability Prediction for Carbonates: Still a Challenge?
Abstract
Permeability estimation for a well and mapping it for a field are extremely critical and difficult tasks in hydrocarbon exploration and production. Diffe...
Comparative Study on Stress-dependent Permeability of Ultra-low Permeability Sandstone Rock Using Different Types of Fluid Media
Comparative Study on Stress-dependent Permeability of Ultra-low Permeability Sandstone Rock Using Different Types of Fluid Media
Abstract
During the production lifecycle of a reservoir, rock permeability may change due to the increase of the effective stress which could significantly affect...
Classification and Evaluation of Ultra-Low Permeability Reservoirs in the Changqing Oilfield
Classification and Evaluation of Ultra-Low Permeability Reservoirs in the Changqing Oilfield
Abstract
With the rapid development of the world economy, the exploration and development of unconventional oil and gas resources have become a new hot spot. As a...
Oil -Water Relative Permeability Data for Reservoir Simulation Input, Part-I: Systematic Quality Assessment and Consistency Evaluation
Oil -Water Relative Permeability Data for Reservoir Simulation Input, Part-I: Systematic Quality Assessment and Consistency Evaluation
Abstract
The relative permeability concept has been used extensively in reservoir engineering. As numerical reservoir simulation has become more popular as a tool...
Dynamic-To-Static Permeability Ratio Provides Valuable Insights of Reservoir Architecture and Heterogeneity in Complex Hydraulically Fractured Reservoirs
Dynamic-To-Static Permeability Ratio Provides Valuable Insights of Reservoir Architecture and Heterogeneity in Complex Hydraulically Fractured Reservoirs
Matrix permeability is a key parameter to predict reservoir deliverability and ultimate recovery in tight gas reservoirs. Since it is a multiscale property, its values can signific...
Exponential Growth in San Juan Basin Fruitland Coalbed Permeability With Reservoir Drawdown—Model Match and New Insights
Exponential Growth in San Juan Basin Fruitland Coalbed Permeability With Reservoir Drawdown—Model Match and New Insights
Abstract
The exponential growth behaviour of coalbed permeability with reservoir pressure depletion has previously been observed at the Fairway wells in the San Juan...
Steady State Bitumen-Water Relative Permeability Measurements At Elevated Temperatures In Unconsolidated Porous Media
Steady State Bitumen-Water Relative Permeability Measurements At Elevated Temperatures In Unconsolidated Porous Media
Abstract
Accurate drainage and imbibition relative permeability data are essential for the accurate prediction of the performance of heavy oil reservoirs undergoi...

