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Study on Well Spacing Optimization in a Tight Sandstone Gas Reservoir Based on Dynamic Analysis
Xiaoxu Feng1,2, Xinwei Liao1
1China University of Petroleum Beijing, 18 Fuxue Road, Beijing, 102249 China.
Optimizing tight gas field development requires effective drainage area estimation and well spacing. This study introduces a workflow combining dynamic analysis and numerical simulation to determine optimal well patterns for enhanced gas recovery.
Area of Science:
- Petroleum Engineering
- Unconventional Resources
- Reservoir Management
Background:
- Tight gas is a priority unconventional resource in China, distinct from shale gas and coalbed methane.
- Enhancing gas recovery in tight gas fields is crucial, influenced by geology, drainage area, and well spacing.
- Effective drainage area estimation and well spacing optimization are vital for tight gas exploitation.
Purpose of the Study:
- To establish a novel optimization workflow for tight gas field development.
- To combine dynamic analysis and numerical simulation for improved gas recovery.
- To provide guidance for optimizing well spacing and drainage area in tight gas fields.
Main Methods:
- Utilized interference well test results and production data for dynamic analysis.
- Developed a numerical model to determine optimal well spacing.
- Integrated economic evaluation for well density optimization.
Main Results:
- The workflow successfully estimated single well drainage area and determined optimal well patterns.
- Applied to the Sulige gas field, the approach yielded a most reasonable well pattern of 500 m × 600 m.
- The combined methods allow for prediction of total gas production and optimization of well density.
Conclusions:
- The proposed workflow effectively guides tight gas field operators with available well test and production data.
- Optimized well spacing significantly impacts gas recovery in tight sandstone reservoirs.
- The 500 m × 600 m well pattern is identified as optimal for the Sulige pilot gas field.
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