油田数字化转型及智慧油田建设方案（35页 PPT）

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油田数字化转型及智能油田建设 目 录 CONTENTS 提 纲 1 、老油田面临的挑战 2 、智能油田建设的技术实现 3 、成功经验 4 、行业数字化转型最新趋势 01 老油气田面临的主要挑战——增储上产、降本增效 01 智能油气田建设的本质— 数据流动、模型优化到决策支持  监测、诊断、优化 + 人工智能 目 录 CONTENTS 提 纲 1 、老油田面临的挑战 2 、智能油田建设的技术实现 3 、成功经验 4 、行业数字化转型最新趋势 目 录 CONTENTS 提 纲 1 、老油田面临的挑战 2 、智能油田建设的技术实现 3 、成功经验 4 、行业数字化转型最新趋势 提高产量 (2% - 7%) / 提高采收率 (5% - 9%) 降低作业成本 (5% - 20%) / 提升 HSE 水平 - 减少现场活动  Well downtime reduced to hours (vs. 2-3 days)  Production increase 7% (vs. status quo)  Engineering time reduced 4X (vs. manual work) KOC  $10M+ saved in lost production avoidance…in year 1  95% Uptime first 6 months (vs. expected 65%)  98% Reduction in engineer’s NPT Chevron  50-80% reduction in time for workflow execution  Integrated data to desktop functionality across asset  Complete KPI visibility drives quality and efficiency Petrobras Anadarko  3 – 5 % production increase  15 - 20% operational cost reduction  SPE Paper 163812  SPE Paper 163696  30+ papers, 6 patents  SPE Paper 127691  SPE Paper 115367  SPE Paper 111990  SPE Paper 127517  SPE Paper 127520  New Tool Manages Big Data in Real Time, AAPG Explorer, January 2016 ADNOC  Shortfall identification and management cycle time improved by 80%  Optimization cycle time improved by 80%  SPE 193049 KOC 科威特国家石油  关井时间减少到小时（对比原来 2~3 天）  产量增加 7% （对比项目前）  维护时间减少了 3/4 （对比原来人工操作）  避免生产损失一年内节约了 1 千万美元，  头六个月生产时间达到 95% （原来预期 65% ）  工程师的非生产时间减小了 98%  产量增加 3~5%  作业成本减少了 15~20%  减少流程执行时间 50~80%  在展示层建立了全油田资产的数字模型  KPI 全生产关键指标的质量和效率驱动  风险识别和管理周期缩短了 80%  优化后作业时间减少了 20% Chevron 雪弗龙 Petrobras 巴西石油 ADNOC 阿布扎比国家 石油 Anadarko 03 油公司的实施经验 03 Chevron Agbami i-field 智能油气田 阶段 1A  第一期 - 以投产要求为主要出发点  第二期 - 针对生产优化和生产规划 阶段 1B  第三期 - 针对油藏监控的基础工作 流  第四期 - 实时油藏管理业务 阶段 1C  针对地面设备的第 5 和 6 期 Stage 1B Release 3 May’09 10-Operating Guidelines Short Term Work Plan Stage 1A Calculated Variables 09-Operating Guidelines Mid Term Work Plan 08-Virtual Metering Data Acquisition & Validation 01-Well Shut-in Testing 02-Well Production Testing & Validation 03-Production Allocation 04-Production Decline Analysis 05-Flow assurance (Transient analysis) 06-KPI Monitoring and Metrics Tracking 07-Operating Guidelines Long Term Work Plan Release 2 Jan’09 Release 1 (Jul’08 First Oil) 12-Production Performance Analysis 11-Resevoir Performance Analysis (Voidage & Pressure monitoring, Displacement Efficiency, Prod/Inj Forecasting) 13-Data Portal Stage 1C Release 4 Aug’09 17-Reserves Tracking 18-Model Update 14-BHP Correction 15-Flux Monitoring 16-Zonal Split Calc Release 5 Apr’10 22-LPO Monitoring 21- Well Test Prioritzation 20-Process Material Balance 19-Glycol Monitoring Release 6 Aug’10 25 – Well Startup Monitoring 24 – Reliability Monitoring 23 – Compressor System Monitoring Release 7 May’11 26 – Well Condition Monitoring 27 – ICV Monitoring 28 – Riser Test Validation Release 8 Sep’11 29 – WellView Integration 目 录 CONTENTS 提 纲 1 、老油田面临的挑战 2 、智能油田建设的技术实现 3 、成功经验 4 、行业数字化转型最新趋势 − ‘’Integrated Upstream’’: Making sure that the full spectrum of Upstream services (Exploration to Production) is enabled by the OSDU Data Platform. − ‘’Realtime as the standard”: Making sure that any amount of real time data can be handled by the OSDU Data Platform and linked Edge facilities. − ‘’Support for End-to-End services’’: Supporting the complete supply chain for existing (gas) and new Energy sources. − ‘’Any mixture of Energy sources”: Enable platform readiness for adopting new data types and service in support new business domains. 04 行业数字化转型趋势，开放共享的数据模型和平台 Open Subsurface Data Universe™ (OSDU) Forum Scope • All Public Cloud based • All data for the Data Platform Services loaded via the Data Ingestion Services  Extract metadata / data quality / etc • Well defined (RestFUL) APIs defining the access to the Data Platform Services • Applications: (Micro) Services based • Information Security: Covering all elements with focus at Data Security • In Country solution: For those countries where we are unable to move data out of the country and there are no cloud services • As well support for legacy applications based on MS Windows or Linux Desktops • OSDU  System of Record User Interface (HTML5) Workflow / Orchestration services Application services (Exploration / Development / Wells) Application Platform services (Calculation Services / Metrics Services / Units of Measure ) Data Platform Services Infrastructure Platform services Information Security End to End Support & Management Data Ingestion Services In Country Infrastructure Platform services In Country Data Platform services APIs Non competing Competing OSDU Data Platform: Single Data Platform (system of record / insights) API (standard interface for accessing the data) OSDU R3++ covers: • Solar, Windfarm • Hydrogen, Hydro • GeoThermal Planned for 2021/2022 (production) OSDU: Open Energy Data Platform OSDU R3 covers: • Exploration • Development • Wells Released Q1-2021 (production) OSDU R3+ covers: • Upstream Production • Drilling Planned for Mid 2021 (production) OSDU roadmap: 2021 – 2022  Engineering integrated with OSDU Applications REALTIME Engineering Data Platform (EDP): • Structures • Piping & Instrumentation • Electrical; Etc. Field Development Plan Trading: Power Digital Twin Artificial Intelligence Imaging & Interpretation B2B/B2C Edge 04行业数字化转型趋势， AI 和大数据应用 Schematics Challenge  Human observation : subjective & late detection  Monitoring software:  Rely on accurate and costly of flow meters  Need additional sensors Solution  Developed a statistical analysis based method:  Physics model  Time series trend analysis Results  Successfully detect the recorded kicks for client data  False alarm ratio is less than 8% Automatic Early Kick Alarming Real-time Drilling Data Physics based modeling Time-series Data mining 04 AI 实例：早期井涌预警系统 04 AI 实例：早期井涌预警系统，预警指数实时分析 Kick recorded by SME Kick index based on three kick indicators Timeline 2 1 Alarm by model 12 mins 04 AI 实例：早期井涌预警系统，预警效果 04行业数字化转型趋势，开放架构 + 平台 + 应用 THANK YOU