首页> 外文会议>Geothermal Resources Council annual meeting >Optimization of Enhanced Geothermal Systems under Geological and Reservoir Stimulation Uncertainty
【24h】

Optimization of Enhanced Geothermal Systems under Geological and Reservoir Stimulation Uncertainty

机译:地质储层激励不确定性下增强地热系统的优化

获取原文
获取外文期刊封面目录资料

摘要

There are many uncertain parameters when creating an Enhanced Geothermal System (EGS). Uncertain geological parameters include the stress field, location and orientation of pre-existing fractures, rock toughness, and temperature and pressure distribution. In addition, the physical mechanisms governing fracture creation are still being researched. Due to these uncertainties, the reservoir's response to stimulation and operation cannot be predicted with certainty using numerical simulators. With an uncertain reservoir response, it is challenging to make engineering optimization decisions that will greatly improve the profitability of an EGS. This paper explores the optimization of an EGS under geological and reservoir stimulation uncertainty. A base case EGS model is created, using available data for a candidate EGS site in the West Flank of Coso, California. The EGS base case is a horizontal injector well flanked by two producer wells. The injector well is hydraulically fractured to create tensile fractures and open pre-existing natural fractures. Using Monte Carlo simulation, 119 models were generated varying the uncertain earth parameters within ranges reported for the West Flank of Coso site. For each model, fracture stimulation parameters such as mean fracture length, and mean fracture aperture, were randomly selected according to prior uncertainty. Monte Carlo Optimization (exhaustive brute force sampling) was used on these models to optimize four engineering decisions: the well head pressure on the injection well, the pump power on the production wells, the distance between the injector and producers, as well as the spacing between fractures. The engineering decisions were optimized to maximize the present value of the EGS, accounting for the cash flow discount rate and the cost of pumping. Our analysis shows that for the prior uncertainty and conditions used in our model, a fracture spacing of 10 m and a distance between the injector and producers that is less than the mean hydraulic fracture length, increase the present value of the EGS.
机译:创建增强型地热系统(EGS)时,存在许多不确定的参数。不确定的地质参数包括应力场,已存在裂缝的位置和方向,岩石韧性以及温度和压力分布。另外,仍在研究控制裂缝产生的物理机制。由于存在这些不确定性,因此无法使用数值模拟器来确定储层对增产和作业的响应。由于储层响应不确定,因此要做出能够大大提高EGS盈利能力的工程优化决策具有挑战性。本文探讨了在地质和储层增产不确定性下的EGS的优化。使用加利福尼亚州Coso西侧的候选EGS站点的可用数据,创建基本案例EGS模型。 EGS基本案例是水平注入井,两侧是两个生产井。注入井被水力压裂以产生拉伸裂缝并打开先前存在的天然裂缝。使用蒙特卡洛模拟,生成了119个模型,这些模型在Coso站点西侧报告的范围内改变了不确定的地球参数。对于每个模型,均根据先前的不确定性随机选择诸如平均裂缝长度和平均裂缝孔径之类的裂缝刺激参数。在这些模型上使用了蒙特卡洛优化(穷举采样)来优化四个工程决策:注入井的井口压力,生产井的泵功率,注入器与生产者之间的距离以及间距骨折之间。对工程决策进行了优化,以最大化EGS的现值,并考虑了现金流量折现率和抽水成本。我们的分析表明,对于我们模型中使用的先前不确定性和条件,裂缝间距为10 m,并且注入器与生产者之间的距离小于平均水力裂缝长度,会增加EGS的现值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号