摘要
泥页岩含气量是评价页岩气资源量的一个重要参数,目前主要根据试验得出,不仅耗费时间长且价格昂贵,难以满足快节奏的勘探生产需要。因此,探寻简单快速并且相对廉价的预测泥页岩含气量方法具有重要的现实意义。在有已知井试验数据的基础上,利用常规测井资料,应用多元统计数理模型,建立起多个含气量预测模型,通过对模型进行检验及优选,可以较为准确地预测出泥页岩的含气量。该方法在川东北元坝地区进行了应用,模型预测结果与试验分析结果符合度较高。
Mud shale gas content was an important parameter for evaluating shale gas resources,the parameter was obtained mainly by experiments.It was not only time-consuming,but also expensive,and it was difficult to meet the needs of fast-paced oil exploration and production.Therefore,it was of practical significance for exploring a simple,fast and relatively inexpensive method for predicting shale gas content.On the basis of testing data from the Known wells,conventional logging data and multi-element mathematical and statistical model are used to establish models for gas content prediction,and by model testing and optimization,the gas content can be accurately predicted.It is used in the field of Yuanba Area of northeast Sichuan.The predicted results are more consistent with the actual production at the late stage.Key words:mathematical model;gas content;shale gas;Yuanba Area
出处
《石油天然气学报》
CAS
CSCD
2014年第1期66-72,6-7,共7页
Journal of Oil and Gas Technology
基金
国家科技重大专项(2011ZX05005-003)
科技部重大专项(P12001)
