Utilizing Lean & Machine Learning to Monitor and Managing Production Induced Subsidence in a Mature Oil and Gas Field and to Ensure Safety of 200+ Field Staff and Safeguard More Than 200 Mln BOE Natih & Shuaiba

Maryam Humaid Al Wahaybi, Roeland van Gilst, Fathiya Hilal Salmi, Taimur Al Wadhahi, S. Azri, Abir Mahruqi, Qais Ali Siyabi, S. Mahajan, Khalid Abdullah Mahrouqi, Nabil Salim AL Siyabi
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Abstract

The MicroSeismic (MS) events, also referred to as tremors or induced seismicity, can be triggered by reservoir depletion and compaction as a result of hydrocarbon production with time. In order to measure and locate the MS events in the Field A; Petroleum Development of Oman (PDO) installed many downhole geophones and accelerometers across the field since 2011. The monitoring network allows subsurface teams to understand magnitude, location and depth of the events. Till the end of 2019 a total of 5,597 MS events were recorded and analysed. In 2020 a new Standard Operating Procedure (SOP) was established moving away from a partly manual data information system to an automated real-time data system named PetroAlert (this is ESG invention). The SOP also defines a clear step-by-step action plan and line-of-sight using a color code system (Traffic Light System). The key challenges that needed to be overcome were: 1) problem breakdown, goals and root causes and 2) data integration and IT infrastructure. The first challenge was overcome by utilizing Lean and organizing a KAIZEN event to ensure objectives were clear to all involved team members. The second challenge was solved in consultation with our external event processing contractor the Engineering Seismology Group (ESG) and the PDO geophysics teams (Exploration Directorate). PDO behaviors: –Speed: the new automated alert system is much Leaner and efficient compared to the previous manual system saving 100s of man hours per year. The line-of-sight captured in the SOP makes it clear for the team how to respond and who to inform in case of significant MicroSeismic events.–Leadership: the Gas Team has lead the change with other compaction team members. In principle all information was available but needed to be combined into a simple alert system with appropriate data filtering.–Team work: without teamwork inside PDO with the Lean team, the specialist geophysicist and our external contractor ESG we would not have succeeded. Several Lean sessions (KAIZEN, Gemba, and huddles) were organised to ensure all team members were well informed on the progress and deadlines for the project. The digital transformation in MicroSeismic monitoring in Field A protects 200+ staff in the field and multiple hundreds BOE production in both Natih and Shuaiba Reservoirs. This work can be replicated for other fields in PDO impacted by compaction (Field B and Field C) to increase the success even further. Also it can be replicated worldwide.
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利用精益和机器学习监测和管理成熟油气田的生产沉陷,确保200多名现场工作人员的安全,保护超过2亿BOE的Natih和Shuaiba
微地震(MS)事件,也被称为地震或诱发地震活动,可能是由于油气开采造成的储层枯竭和压实而引发的。为了测量和定位A场的MS事件;自2011年以来,阿曼石油开发公司(PDO)在整个油田安装了许多井下检波器和加速度计。监测网络使地下团队能够了解地震的震级、位置和深度。截至2019年底,共有5597起MS事件被记录和分析。2020年建立了新的标准操作程序(SOP),将部分手动数据信息系统转变为名为PetroAlert的自动化实时数据系统(这是ESG的发明)。SOP还定义了一个明确的逐步行动计划和使用颜色代码系统(交通灯系统)的视线。需要克服的主要挑战是:1)问题分解、目标和根本原因;2)数据集成和IT基础设施。第一个挑战是通过利用精益和组织改善活动来克服的,以确保所有参与的团队成员都清楚地了解目标。第二个挑战是通过与外部事件处理承包商工程地震学小组(ESG)和PDO地球物理小组(勘探理事会)协商解决的。-速度:与以前的人工系统相比,新的自动警报系统更加精简和高效,每年可节省100个工时。SOP中捕获的视线使团队在发生重大微地震事件时如何响应以及通知谁清楚。-领导力:气体团队与其他压实团队成员一起领导变革。原则上,所有信息都是可用的,但需要结合成一个简单的警报系统,并进行适当的数据过滤。团队合作:如果没有PDO内部精益团队、专业地球物理学家和外部承包商ESG的团队合作,我们就不会成功。组织了几次精益会议(KAIZEN, Gemba和huddles),以确保所有团队成员都能充分了解项目的进度和截止日期。A油田微震监测的数字化改造保护了该油田200多名员工和Natih和Shuaiba油藏数百BOE的产量。这项工作可以在PDO受压实影响的其他油田(油田B和油田C)中复制,以进一步提高成功率。它也可以在世界范围内复制。
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