Digital Transformation of Oil and Gas Exploration and Development; Unstoppable Artificial Intelligence Application

doi:10.3969/j.issn.1002-302x.2023.03.001

Abstract

Abstract: Artificial intelligence (AI) technology has been under explosion in recent years, becoming an important engine for digital economic development. Application of AI technology has become a key step for oil and gas digital transformation and played an important role in improvement of oil and gas exploration and development efficiency, reduction of business and production costs, assurance of work safety and reduction of environmental risks. This article elaborates the current conditions about R&D and application of AI technology in the areas of reservoir evaluation, logging, geophysical exploration, drilling and completion, oil reservoir engineering, and oil and gas field engineering. The Chinese and foreign oil companies actively study the cooperative AI R&D model, accelerated distribution of AI application in the unconventional oil and gas area, and achieved the preliminary results in those areas. Currently, AI application of oil and gas exploration and development faced a number of challenges, such as high cost for data acquisition, obvious problems of data quality, complicated business situations, unlikeliness for pure dependence on data drive, immaturity of the R&D environment, inapparent short-term results, inadequate understanding, and delay in the relative mechanisms. Focusing on actual AI application, the article proposes to establish the configuration of data quality management, bring about continual automatic inspection for a higher data quality, integrate industrial mechanism model with AI technology to foster cross-disciplinary talents, co-construct the environment for intelligent energy collaboration in encouragement of intelligent energy ecological development, and clarify the fact that digital transformation and intelligent development are the systematic and sustainable projects.

摘要： 近年人工智能技术全面爆发，成为数字经济发展的重要引擎。人工智能技术的应用已成为油气数字化转型的关键一步，并在提高油气勘探开发效率、降低运营生产成本、保障安全生产、降低环境风险等方面发挥巨大的推动作用。文章阐述了人工智能技术在储层评价、测井、物探、钻完井、油藏工程、油气田工程等领域的研发应用现状，国内外油公司积极探索人工智能合作研发模式，在非常规油气领域加快人工智能应用布局，已取得初步效果。当前油气勘探开发人工智能应用面临着诸多挑战，如数据获取成本高，数据质量问题突出，业务场景复杂，无法单纯依靠数据驱动，研发生态尚未成熟，短期见效慢，认识尚浅，配套机制跟不上等。针对人工智能落地应用提出如下建议：建立数据质量管理框架，实现持续自动化检查提高数据质量；将行业机理模型和人工智能技术融合，培养复合型人才；共建智慧能源合作生态，鼓励智慧能源生态发展；要清楚认识数字化转型、智能化发展是系统工程、持续工程。

关键词: 人工智能, 油气勘探开发, 数字化转型, 数据治理, 深度学习

CLC Number:

Liu He. Digital Transformation of Oil and Gas Exploration and Development; Unstoppable Artificial Intelligence Application[J]. Petroleum Science and Technology Forum, 2023, 42(3): 1-9.

刘合. 油气勘探开发数字化转型　人工智能应用大势所趋[J]. 石油科技论坛, 2023, 42(3): 1-9.

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