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Efficient Integration of Pressure Data to Estimate OGIP and Production Rates in Dry-Gas Reservoirs

机译:有效地集成压力数据以估算干气储层中的OGIP和生产率

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Pressure data integration contributes significantly to proper reservoir management in dry-gas reservoirs. In this study, we used wellbore and surface pressure data to determine the range of Original Gas in Place (OGIP) and perform production predictions for a large dry-gas reservoir. We developed a process to integrate and process wireline, wellhead, and gas-lines pressure data, resulting in a comprehensive set of static reservoir pressure and dynamic information on well by well basis. Then, we built numerical reservoir simulation models for several geologic interpretations, and performed history matches for the 28 years of field life. The selection of models with high-quality history matches defined the range of OGIP for this field to be from 5.0 to 5.6 Tscf. Productivity Index (PI) and non-Darcy coefficient for each well were obtained from well-test interpretation. Determination of best wellbore flow correlation was accomplished by using wireline dynamic gradients. Surface flow correlations were derived from gas line pressure and production data. The successfully history matched reservoir models were coupled with the calibrated wellbores and surfaces lines. These integrated models were used to forecast production for low, mid and high OGIP values and for various development alternatives.
机译:压力数据集成为干气藏的适当储层管理做出了重要贡献。在这项研究中,我们使用井眼和地表压力数据来确定原始天然气储量范围(OGIP),并对大型干气藏进行产量预测。我们开发了一种集成和处理电缆,井口和天然气管线压力数据的过程,从而在每口井的基础上获得了一套完整的静态储层压力和动态信息。然后,我们为几种地质解释建立了数值油藏模拟模型,并进行了28年油田寿命的历史拟合。选择具有高质量历史匹配的模型将此字段的OGIP范围定义为5.0至5.6 Tscf。每口井的生产率指数(PI)和非达西系数均从试井解释中获得。最佳井眼流量相关性的确定是通过使用电缆动态梯度来完成的。表面流量相关性是从气体管线压力和生产数据中得出的。成功匹配历史的储层模型,再加上已校准的井眼和地表线。这些集成模型用于预测低,中和高OGIP值的产量以及各种开发替代方案。

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