开发阶段油田研究工作中大数据模型的建立与应用

The Establishment and Application of Big Data Model in Oil Field Research Work in Development Stage

针对如何充分利用地质油藏数据挖掘价值信息并指导油田开发研究工作,进行了数据模型构建及应用探索,建立了两个数据模型:将平面控制点密集的构造图与纵向数据点密集的井点分层数据结合,建立三维钻井—构造高程差数据模型辅助构造变化分析,以描述任意空间位置的构造变化特征;将录井显示、测井解释数据与油气成藏特征进行联系,建立油气运移—成藏数据模型,以辅助油气运移成藏规律分析。将构造高程差数学模型应用于开发井随钻跟踪工作中,成功识别深度测量数据异常,有效避免了开发井侧钻;将油气运移—成藏数据模型应用于成熟油区周边滚动评价研究中,有效获得研究区浅层断层侧向封堵的认识,指导了研究区一个小型断块圈闭的评价和钻探并获得成功。

The paper focuses on how to make full use of geological oil reservoir data mining value information,also guide oilfield development and research work,and conducts data model construction and application exploration.Two data models are established:by combining the structure map with dense horizontal control points and the layered data of well points with dense vertical data points,a three-dimensional drilling-structure elevation difference data model is established to assist the structural changes analysis,and to describe the structural change characteristics of any spatial location.The logging display and logging interpretation data are linked with the characteristics of oil and gas accumulation,and the data model of oil and gas migration-accumulation is established to assist in the analysis of the law of oil and gas migration and accumulation.The mathematical model of structural elevation difference is applied to the tracking during drilling of development wells,and the abnormal depth measurement data are successfully identified,which effectively avoids sidetracking of development wells;the drilling-tectonic elevation difference data model is applied to the rolling evaluation study around mature oil regions,which effectively obtains the understanding of the lateral sealing of shallow faults in the study area,and successfully guides the evaluation and drilling of a small fault block trap in the study area.