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Method of Predicting Tight Gas Deliverability from Conventional Well Logging Data Based on Experimental Simulation

机译:基于常规模拟的常规测井数据预测致密气产量的方法

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Gas deliverability estimation is very important in predicting effective gas-bearing regions and formulating reasonable development program. Conventional deliverability prediction method based on absolute open flow cannot be used in exploration wells due to the important input data of drill stem test (DST) data that cannot be first acquired. In this study, to establish reasonable model to predict exploration well deliverability, four core samples, drilled from the same tight sandstone reservoirs of northeast China, are applied for deliverability simulation experiment under formation condition. Gas flow rate and production data under different simulated drawdown pressures are acquired. A parameter of gas deliverability index, which is used to characterize gas production capability per well, is introduced. The relationships among gas deliverability index, reservoir physical properties (such as porosity, permeability and gas saturation) and drawdown pressure are analyzed. The results illustrate that for our target tight gas sandstone reservoirs, the optimal drawdown pressure is 5.0 MPa, and good relationship exists between gas deliverability index with the combined parameter of permeability and gas saturation. Based on this relationship, a model of predicting gas deliverability index from reservoir physical properties is established, and it is extended to field application to predict gas production. Comparison of predicted gas deliverability by using this model and acquired result from DST data illustrates the reliability of the established model.
机译:天然气输送量的估算对于预测有效的含气区域和制定合理的开发方案非常重要。由于无法首先获取重要的钻杆测试(DST)数据输入数据,因此无法在勘探井中使用基于绝对开放流量的常规产能预测方法。在这项研究中,为了建立合理的模型来预测勘探井的产能,将在中国东北同一致密砂岩储层中钻探的四个岩心样品用于地层条件下的产能模拟实验。获取了不同模拟压降压力下的气体流速和生产数据。介绍了用于表征每口井产气能力的产气指数指标。分析了天然气输送指数,储层物性(例如孔隙度,渗透率和天然气饱和度)和压降压力之间的关系。结果表明,对于我们的致密气砂岩气藏,最佳压降压力为5.0 MPa,且天然气的可采指标与渗透率和饱和度参数之间存在良好的关系。基于这种关系,建立了根据储集层物性预测天然气输送指标的模型,并将其推广到野外预测天然气产量的应用中。通过使用此模型与从DST数据获取的结果预测的天然气输送能力的比较说明了所建立模型的可靠性。

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