基于储层预测数据分布式处理的质控平台研发  

Research and Development of Quality Control Platform Based on Distributed Processing of Reservoir Prediction Data

作　　者：刘胜 李徯徯 蒋震 万鑫 LIU Sheng;LIXixi;JIANG Zhen

机构地区：[1]昆仑数智科技有限责任公司智慧油田油气数据业务部,北京100000 [2]北京地大博创科技有限公司软件研发部,北京100083

出　　处：《科技创新与应用》2024年第8期24-27,35,共5页Technology Innovation and Application

摘　　要：随着我国企业信息化建设的不断发展与石油勘探工作的持续深入,石油石化企业在生产管理智能化和勘测场景多样化等方面面临着更为严峻的挑战。为应对这些问题,塔里木油田企业将储层预测工作划分成岩石物理、正演模拟、特殊处理及属性分析、叠后反演、叠前反演5个工序,通过工作流程的分布式优化推动全局最优,在降低解释工作复杂度的同时,缩短项目的处理周期。在此基础上,针对各质控点制定详细的处理工艺和精度要求,结合GeoEast-iEco数据解释系统,研发一套智能质控平台,实现储层预测的高效率和高质量质控。With the continuous development of enterprise information construction in China and the continuous deepening of oil exploration,petroleum and petrochemical enterprises are facing more severe challenges in the aspects of intelligent production management and diversification of survey scenes.In order to deal with these problems,the Tarim Oilfield Company divided the reservoir prediction work into five processes:petrophysics,forward simulation,special treatment and attribute analysis,post-stack inversion,and prestack inversion,and promoted the global optimization through the distributed optimization of workflow,while reducing the complexity of interpretation and shortening the processing cycle of the project.On this basis,this study made detailed processing technology and posed precision requirements for each quality control point and,combined with GeoEast-iEco data interpretation system,developed a set of intelligent quality control platform,in order to achieve high efficiency and high quality quality control of reservoir prediction.

关 键 词：储层预测 分布式处理 智能质控 精度 质控效率 

分 类 号：P618.1[天文地球—矿床学]