油田产能建设项目优化评价模型与控制管理研究
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摘要
油田产能建设项目是指在油气勘探基础上,通过油藏工程优化布井、钻井工程优化钻井,采油工程和地面工程的方案优化设计,确定油田产能建设开发方案,并通过实施开发方案将油气储量转化为油气生产能力的一项重要生产活动。作为典型的资源采掘业,油田投入全面开发达到其峰值产量后,必然要面对产量递减的开发形势,为确保实现油田的可持续发展,急需进行油田产能建设,将新的勘探区块进行产能建设优化设计和经济评价后投入开发,以弥补油田产量的递减。
     本论文在对油田产能建设的各项活动进行全面论述和分析的基础上,运用理论联系实际的方法对油田产能建设这一独特的项目进行研究,针对产能建设具有的高风险、高投入、高回报、牵扯技术专业广、时效性强等特点,本文利用项目优化技术、经济评价理论和项目控制管理,构建了一套切实可行的油田产能建设项目整体优化模型及经济评价方法,建立了基于ERP的油田产能建设项目的内部控制管理体系。
     论文对油田产能建设项目进行了优化设计。将油田产能建设项目划分为油藏工程、钻井工程、采油工程和地面工程等4个子系统,在综合考虑了油田实际生产过程中各个环节的内在联系的基础上,相应地建立了4个子系统的参数优化设计模型,通过油田产能建设项目的总目标函数将4个系统联系起来,实现整体优化设计。
     论文对油田产能建设项目进行了经济评价,包括项目的财务评价、国民经济评价、项目的不确定性分析、基于DEA的项目风险评价。其中油田产能建设项目风险评价在油田项目经济评价中属开创性研究,该评价模型运用数据包络分析方法从经济因素、设计施工的技术因素、环境因素等几个方面进
The productivity construction refers to the important activity of converting the oil&gas reserves to oil&gas production capacity via the prophases procedures of research and demonstration, drilling and completing wells, production work, and surface engineering construction. As the typical resource excavating industry, an oilfield development has to face an output digressive situation after its oil&gas output peak period. In order to maintain the sustainable development of the oilfield, it is necessary to conduct the production capacity construction to put the new exploration areas/blocks into production after their production capacity optimization and economic evaluation.
    On the research of analysis of activities of the productivity construction, the paper researches the project of productivity construction with theory and practice measures. In terms of the characteristics of high risks, high input and high return, concerned widely technical specialties, strong timely, the paper composes a set of practical overall optimization model for the productivity construction projects and establishes the inner system for economic evaluation controlling management based on ERP using project optimizing theory, economic valuation theory and controlling management of projects.
    The paper optimizes the project designs of the productivity construction, including four subsystems: reservoir engineering, drilling engineering, oil production engineering and surface engineering. With the consideration of all aspects of the oilfields development and establishment of the parameters optimization modules of the four subsystems, the overall optimization module for the productivity construction projects has been conducted by linking the sub-systems through the general target function.
    The paper appraises economic efficiency of the productivity construction, including financial valuation of project, national economic valuation, uncertainty analysis, and project risk valuation bases on DEA. As for project risk valuation of the productivity construction, it is the first time to apply this measure and model
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