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Optimizing Deliverability in Five Gas-Storage Reservoirs—Case Studies

机译:在五个储气库中优化输送能力—案例研究

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Proper identification of damage mechanisms can improve stimulation techniques used in remediation of damaged gas-storage wells. Identifying damage mechanisms is only a beginning step in optimizing remediation. Determining the highest potential candidate wells and evaluating reservoir quality in the field can be just as crucial in optimizing a deliverability enhancement program.. Historical data and reservoir/geological description analysis are required to properly rank candidates and design specific treatments to optimize deliverabilitypotential. Once the diagnostic data and analysis are completed, an operator must begin the tedious process of applying the relevant data analysis to rank and validate the candidate wells' potential and select one or more tailored treatment designs. Adequate well ranking is critical to ensure that AFE dollars achieve maximum deli verability.This paper illustrates case studies using a ''Solution Team" a multidisciplined team process, in which over 75 wells were diagnosed and treated successfully. Rigorous damage-identification techniques andreservoir quality diagnostics were used in the five gas-storage reservoirs. Each case study produced damage-specific stimulation treatments based on the operator's objectives to enhance existing deliverability. Follow-up evaluations were made at 1 - and 2-year intervals to show how the team process that uses new, improved diagnostic practices can optimize deliverability.In this study, damage mechanisms w7ere identified with improved methods described in a previous Gas Research Institute (GRI) project. Damage in each well was quantified using well-test analysis and historical injection/withdrawal cycle perfor-mance matching. Log analysis, petrophysical data, geological data, wellbore imaging, and workover historical data were also gathered as treatment-design criteria. The deliverability improvement was quantified for each well using post-treatment diagnostics. The post-treatment evaluations were updated with 1 - and 2-year follow-up evaluations. Each study incorporates several unique treatment options addressing a variety of damage mechanisms. Treatments were selected to produce the highest deliverability enhancement and maximize the operator's return on investment.Case Study 1 incorporates high-pressure jetting, tailored acidizing, and hydraulic fracturing techniques used in a deep high-permeability pressure-drive carbonate reservoir. Case Study2 includes high-pressure jetting and damage-specific fluid treatments in two shallow water-drive clastic reservoirs. Case Study3 incorporates hydraulic fracturing and high-pressure jetting of a shallow high-permeability pressure-drive clastic reservoir. Case Study 4 incorporates high-pressure j etting with foamed chemical treatments in a converted oil-carbonate reservoir.
机译:正确识别损伤机制可以改善用于修复损坏的储气井的刺激技术。识别损坏机制只是优化修复的开始步骤。确定最高潜在的候选井和评估领域的储层质量可以在优化可交付性增强程序方面是至关重要的。历史数据和储层/地质描述分析需要正确排名候选者和设计特定治疗以优化可交付性的优化。一旦诊断数据和分析完成,运营商必须开始将相关数据分析应用相关数据分析的繁琐过程,并验证候选井的潜力,并选择一个或多个定制的治疗设计。足够的井排名对于确保AFE美元实现最大的DELI可验性至关重要。 本文说明了使用“解决方案团队”一个多学科团队过程的案例研究,其中超过75个井被诊断和成功治疗。在五个储气储层中使用了严格的损伤识别技术。每种案例研究基于运营商的伤害特异性刺激治疗,以提高现有可交付能力。在1 - 和2年间隔进行后续评估,以展示如何使用新的,改进的诊断实践的团队流程如何优化可交付能力。 在该研究中,用先前的气体研究所(GRI)项目中描述的改进方法鉴定了损伤机制W.ERE。使用良好的测试分析和历史注射/撤回周期穿孔量化每个孔中的损伤 - 疯狂匹配。日志分析,岩石物理数据,地质数据,井筒成像和工作历史数据也被聚集为治疗设计标准。使用后治疗后诊断,每次孔量化可递送性改善。后处理后评估已更新为1 - 和2年后续评估。每项研究都含有几种解决各种损坏机制的独特治疗选项。选择治疗以产生最高的可交付性增强,并最大限度地提高运营商的投资回报。 案例研究1包括高压喷射,定制酸化和用于深度高渗透性压力驱动碳酸盐储层的液压压裂技术。案例分析 2包括两个浅水驱动碎屑储层中的高压喷射和损坏的流体处理。案例分析 3包括浅透气性压力驱动碎屑储层的液压压裂和高压喷射。案例研究4将高压J eDting与转化的油碳酸盐储层中的泡沫化学处理融合。

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