Integrated Oil-Field Management: From Well Placement and Planning to Production Scheduling

Integrated management can benefit oil-field development and exploitation tremendously. It involves holistic decisions on the order, placement, timing, capacities, and allocations of new well drillings and surface facilities such as manifolds, surface centers, and their interconnections, along with well production/injection profiles. These decisions have profound long-term impacts on field productivity; however, the dynamic nature of oil reservoirs makes them strongly intertwined and highly complex. Hence, a dynamic, holistic, and integrated approach is necessary. Most existing well placement studies ignore surface effects and drilling-rig availability and assume that all wells are opened simultaneously at the beginning of the production horizon. In this work, we extend our previous study [Tavallali Ind. Eng. Chem. Res. 2014, 53 (27), 11033] and develop a mixed integer nonlinear programming (MINLP) approach for addressing such limiting assumptions. We develop a revised outer-approximation algorithm involving two multiperiod, nonconvex MINLPs and several local search strategies. Numerical results for a literature example show significant improvement in the net present value for oil-field development.一体化管理可极大助力油田开发与开采作业。其涵盖针对新钻井与管汇、地面集输中心等地面设施的施工顺序、布井位置、实施时序、产能规模及配置方案，以及油井生产/注入剖面的全局性决策。此类决策对油田产能具有深远的长期影响，但油藏的动态特性使得各项决策相互强耦合且复杂度极高。因此，亟需采用动态化、全局性且一体化的解决方案。当前多数布井相关研究均忽略地面设施影响与钻井设备可用度，并假设所有油井均在开发周期伊始同时投产。本研究拓展了此前的研究工作[Tavallali Ind. Eng. Chem. Res. 2014, 53 (27), 11033]，提出了一种混合整数非线性规划（mixed integer nonlinear programming, MINLP）方法以破解上述限制性假设的局限。本研究设计了一种改进型外逼近算法，该算法包含两个多时段非凸混合整数非线性规划模型与多种局部搜索策略。针对文献案例的数值仿真结果表明，该方案可显著提升油田开发的净现值。