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Evaluation of Bakken Performance Using Coreflooding, Well Testing, and Reservoir Simulation

机译:使用CoreFlooding,Rest Reseve和Chockoir模拟评估Bakken性能

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The success of oil production in North Dakota Bakken should be credited to advanced completion and stimulation techniques. The abundance of data on well production, core analyses and flooding, geologic reservoir characterization, and pressure transient testing has enhanced reservoir evaluation. Understanding matrix and fracture contribution to daily oil production is the key to identifying reservoir drivers affecting the lifelong well productivity. In this paper, we will present an application of core flooding, mini-frac and pressure build-up tests, decline curve analysis and reservoir simulation history matching to achieve reliable long-term reservoir performance predictions. This approach could lead to developing an integrated workflow for determining the performance drivers in the greater Bakken. Information presented in this paper includes well performance data from several Bakken fields, displacement results on selected cores, mini-frac and pressure transient analyses, and history matching using decline curve analysis and numerical simulation. Specifically, the matrix permeability from core measurements is on the order of 10-4 md while the permeability from well testing is on the order of 10-2 md. The latter represents the combined contributions of micro-fractures and matrix permeability. Reservoir simulation also shows that a single-porosity system, using only the matrix permeability from the core analysis, is not sufficient for matching well production performance without having a secondary permeability and porosity (micro-fractures). The dual-porosity nature of the reservoir was confirmed by a long-term pressure build-up test.
机译:石油产量在北达科他州Bakken的成功应归功于先进的完工和刺激技术。对井生产的丰富数据,核心分析和洪水,地质储层表征和压力瞬态测试具有增强的水库评估。了解矩阵和骨折对日常石油生产的贡献是识别影响终身良好生产率的水库驱动因素的关键。在本文中,我们将展示核心泛滥,迷你FRAC和压力积累测试,下降曲线分析和储层仿真历史匹配,以实现可靠的长期水库性能预测。这种方法可能导致开发集成工作流程,以确定更大Bakken中的性能驱动程序。本文提出的信息包括来自多个Bakken领域的良好性能数据,所选核心的位移结果,迷你FRAC和压力瞬态分析以及使用下降曲线分析和数值模拟的历史匹配。具体地,来自核心测量的矩阵渗透率约为10-4MD,而来自井测试的渗透率约为10-2md。后者代表了微骨折和基质渗透性的综合贡献。储层模拟还表明,仅使用核心分析的基质渗透率的单孔隙率系统是不足以匹配井生产性能而不具有次要渗透率和孔隙率(微骨折)。通过长期压力累积试验证实了储层的双孔隙度特性。

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