西南油气田勘探开发协同研究模式探索与实践

doi:10.3969/j.issn.1002-302x.2023.03.007

摘要/Abstract

摘要： 西南油气田矿区内油气资源丰富，随着油气勘探开发的深入，更多高山等复杂地表环境的油气资源被发现，传统的勘探开发业务形态已经不能满足其高强度和深合作的要求。结合西南油气田的业务现状、协同痛点、科研需求，明确勘探开发科研协同新型业务模式要以“提质增效”为核心，以物理油气资产（气藏—井筒—地面）为对象，建立标准化研究流程，探索智能化辅助研究，支撑多学科多专业联合攻关。通过3年技术攻关与实践，在梦想云和区域湖的基础上，搭建勘探开发协同研究平台，为科研人员提供了一套一体化协同共享的研究工作环境、盆地级一体化的研究模型、全业务链智能化的研究流程，促使勘探开发研究实现油气藏研究数据、软件、成果之间有效共享与协同工作，全面支撑油气田勘探开发业务，提升科研工作质量和效率。目前应用于区带目标评价取得成效，推动了西南油气田业务模式的发展，助力中国石油集团数字化转型。

关键词: 数字化转型；勘探开发；协同研究；协同工作流；研究模型

Abstract: The mineral area of Southwest Oil and Gas Field is rich in oil and gas resources. With oil and gas exploration and development unfolded extensively, more and more oil and gas resources were found in the environment with the complicated surface like high mountains. The traditional conditions of exploration and development business were unable to satisfy the demand for high-intensity and in-depth cooperation. Based on the current business conditions bottlenecks of collaboration and technological research demand of Southwest Oil and Gas Field, this article clarifies that the new-type business model for exploration and development research collaboration should be focused on “improvement of quality and efficiency” and targeted at the physical oil and gas assets (gas reservoir-wellbore-surface) to establish the standardized research process, pursue the intelligent auxiliary research and support cross-disciplinary joint research. With the three-year efforts for technological research and application, the collaborative research platform for exploration and development was established on the basis of Dream Cloud and regional lakes. It provides the researchers with a set of the integrated collaborative and sharing research work environment, the integrated research model at the level of basins and the full business chain intelligent research process to help exploration and development research bring about effective sharing and coordination of oil and gas reservoir data, software and research achievements, fully support exploration and development business of oil and gas fields, and improve research work quality and efficiency. Currently, the achievements were made in application of the platform for evaluation of the zone and belt targets, thus promoting development of the business model of Southwest Oil and Gas Field and helping CNPC with digital transformation.

Key words: digital transformation, exploration and development, collaborative research, collaborative work process, research model

中图分类号:

张恩莉　康强. 西南油气田勘探开发协同研究模式探索与实践[J]. 石油科技论坛, 2023, 42(3): 56-64.

Zhang Enli, Kang Qiang. Study and Application of Collaborative Research Model for Exploration and Development of Southwest Oil and Gas Field[J]. Petroleum Science and Technology Forum, 2023, 42(3): 56-64.

参考文献

[1] 天工. 中国石油西南油气田公司建成年产300亿立方米大气区[J]. 天然气工业, 2020, 40(12): 11.
Tian Gong. PetroChina Southwest Oil and Gas Field constructs 30-billiion-cubic-meter gas zone[J]. Natural Gas Industry, 2020, 40(12): 11.
[2] 潘继平. 中国油气勘探开发新进展与前景展望[J]. 石油科技论坛, 2023, 42(1): 23-31, 40.
Pan Jiping. New progress and outlook of China’s oil and gas exploration and development[J]. Petroleum Science and Technology Forum, 2023, 42(1): 23-31, 40.
[3] 牛小兵, 张斌, 耿昊, 等. 新时代油气勘探业务高质量发展策略[J]. 北京石油管理干部学院学报, 2022, 29(6): 39-44.
Niu Xiaobing, Zhang Bin, Geng Hao, et al. High-quality development strategy for oil and gas exploration business in the new era[J]. Journal of Beijing Petroleum Managers Training Institute, 2022, 29(6):39-44.
[4] 曹博涵. 全球油气勘探开发趋势及对我国油气行业的启示[J]. 当代石油石化, 2023, 31(1): 31-37.
Cao Bohan. Global oil and gas E&P trend and implications to China[J]. Petroleum & Petrochemical Today, 2023, 31(1): 31-37.
[5] 谢继容, 赵路子, 沈平, 等. 四川盆地吴家坪组相控孔隙型储层勘探新发现及油气勘探意义[J]. 天然气工业, 2021, 41(10): 11-19.
Xie Jirong, Zhao Luzi, Shen Ping, et al. New exploration discovery of facies controlled porous reservoir in the Wujiaping Formation of the Sichuan Basin and its significance to oil and gas exploration[J]. Natural Gas Industry, 2021, 41(10): 11-19.
[6] 张道伟, 杨雨. 四川盆地陆相致密砂岩气勘探潜力与发展方向[J]. 天然气工业, 2022, 42(1): 1-11.
Zhang Daowei, Yang Yu. Exploration potential and development direction of continental tight sandstone gas in the Sichuan Basin[J]. Natural Gas Industry, 2022, 42(1): 1-11.
[7] 张道伟. 四川盆地未来十年天然气工业发展展望[J]. 天然气工业, 2021, 41(8): 34-45.
Zhang Daowei. Development prospect of natural gas industry in the Sichuan Basin in the next decade[J]. Natural Gas Industry, 2021, 41(8): 34-45.
[8] Al-Subaiei D, Al-Hamer M, Al-Zaidan A, et al. Intelligent digital oilfield implementation: Production optimization using North Kuwait integrated digital oil field NK KwIDF[C]. Abu Dhabi, UAE: Society of Petroleum Engineers, 2019.
[9] Desai S F, Rane N M, Al-Shammari B S, et al. Challenges in operating a digital oilfield - Lessons learned from the Burgan integrated digital field pilot[C]. SPE Kuwait Oil & Gas Show and Conference, 2019.
[10] Mehran F, Turiman H, Jamil N F M, et al. Enhanced oil recovery surveillance and operation optimization through digital oilfield[C]. International Petroleum Technology Conference, 2021.
[11] Naufal A A, Metra S. A Digital oilfield comprehensive study: Automated intelligent production network optimization[C]. SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, 2021.
[12] 杜金虎, 张仲宏, 章木英, 等. 中国石油上游信息共享平台建设方案及应用展望[J]. 信息技术与标准化, 2017(8): 66-71.
Du Jinhu, Zhang Zhonghong, Zhang Muying, et al. CNPC upstream information sharing platform constructing scheme and application prospect[J]. Information Technology & Standardization, 2017(8): 66-71.
[13] 杜金虎, 时付更, 张仲宏, 等. 中国石油勘探开发梦想云研究与实践[J]. 中国石油勘探, 2020, 25(1): 58-66.
Du Jinhu, Shi Fugeng, Zhang Zhonghong, et al. Research and practice of Dream Cloud for petroleum exploration and development of PetroChina[J]. China Petroleum Exploration, 2020, 25(1): 58-66.
[14] 杜金虎, 杨剑锋, 张仲宏, 等. 中国石油勘探开发梦想云研究与应用[M]. 北京: 石油工业出版社, 2020.
Du Jinhu, Yang Jianfeng, Zhang Zhonghong, et al. Research and application of PetroChina E&P Dream Cloud[M]. Beijing: Petroleum industry press, 2020.
[15] 杨剑锋, 杨勇, 王铁成, 等. 勘探开发梦想云丛书: 梦想云平台[M]. 北京: 石油工业出版社, 2021.
Yang Jianfeng, Yang Yong, Wang Tiecheng, et al. A series of books named Exploration and Development Dream Cloud: Dream Cloud Platform[M]. Beijing: Petroleum Industry Press, 2021.
[16] 戴厚良. 中国石油: 以数字化转型驱动油气产业高质量发展[EB/OL].(2020-12-03)[2022-05-30]. http://www.sasac.gov.cn/n4470048/n13461446/n15927611/n15927638/n16135038/c16135615/content.html.
Dai Houliang. CNPC: Digital transformation serves as engine for high-quality oil and gas industrial development[EB/OL].(2020-12-03)[2022-05-30]. http://www.sasac.gov.cn/n4470048/n13461446/n15927611/n15927638/n16135038/c16135615/content.html.
[17] 石玉江, 王娟, 魏红芳, 等. 基于梦想云的油气藏协同研究环境构建与应用[J]. 中国石油勘探, 2020, 25(5): 15-22.
Shi Yujiang, Wang Juan, Wei Hongfang, et al. Construction and application of oil and gas reservoir collaborative research environment based on E & P Dream Cloud[J]. China Petroleum Exploration, 2020, 25(5): 15-22.
[18] 康建国, 傅敬强, 刘晓天, 等. 勘探开发梦想云丛书: 西南智能油气田[M]. 北京: 石油工业出版社, 2021.
Kang Jianguo, Fu Jingqiang, Liu Xiaotian, et al. A series of books named Exploration and Development Dream Cloud: Intelligent Southwest Oil and Gas Field[M]. Beijing: Petroleum Industry Press, 2021.
[19] 高志亮, 梁宝娟, 等. 数字油田在中国: 油田物联网技术与进展[M]. 北京: 科学出版社, 2013.
Gao Zhiliang, Liang Baojuan, et al. Digital oilfields in China – Oilfield IOT technology and its progress[M]. Beijing: China Science Publishing & Media Ltd., 2013.
[20] 谢军. “互联网+”时代智慧油气田建设的思考与实践[J]. 天然气工业, 2016, 36(1):137-145.
Xie Jun. Construction of smart oil and gas fields in the “Internet Plus” era[J]. Natural Gas Industry, 2016, 36(1): 137-145.
[21] 范德军. 大港油田勘探开发项目协同环境研究与建设[J]. 中国石油和化工标准与质量, 2012(10): 121.
Fan Dejun. Research and construction of collaborative environment for Dagang Oilfield exploration and development projects[J]. China Petroleum and Chemical Standard and Quality, 2012(10): 121.
[22] 曹瑜, 李建军, 董杰, 等. 基于梦想云的勘探开发协同研究平台的建设实践[C]. 第七届数字油田国际学术会议, 2021.
Cao Yu, Li Jianjun, Dong Jie, et al. Construction and application of collaborative exploration and development research platform based on Dream Cloud[C]. 7th Session of International Seminar on Digital Oilfields, 2021.
[23] 杨勇. 云技术对石油行业的影响探析[J]. 中国设备工程, 2020(2): 171-172.
Yang Yong. Analyze influence of cloud technology on petroleum industry[J]. China Plant Engineering, 2020(2): 171-172.
[24] 张富利, 罗涛, 汪福勇, 等. 梦想云协同研究环境在四川盆地风险勘探中的应用[J]. 中国石油勘探, 2020, 25(5): 56-63.
Zhang Fuli, Luo Tao, Wang Fuyong, et al. Application of E&P Dream Cloud collaborative research environment in risk exploration in the Sichuan Basin[J]. China Petroleum Exploration, 2020, 25(5): 56-63.
[25] 张恩莉, 汪福勇, 青胜兰. 勘探开发科研协同工作模式研究与实践[J]. 信息系统工程, 2021(7): 33-37.
Zhang Enli, Wang Fuyong, Qing Shenglan. Research and application of collaborative exploration and development research work model[J]. China CIO News, 2021(7): 33-37.
[26] 张恩莉, 汪福勇, 青胜兰. 西南油气田数字化协同地质成图技术研究[J]. 信息系统工程, 2021(12): 137-140.
Zhang Enli, Wang Fuyong, Qing Shenglan. Research on collaborative digital geological mapping technology of Southwest Oil and Gas Field[J]. China CIO News, 2021(12): 137-140.