针对石油勘探开发的实际需求,阐述了人工智能技术在石油勘探开发领域的研究进展与应用情况,探讨并展望未来人工智能技术在石油勘探开发领域的发展方向与发展重点。机器学习在岩性识别、测井曲线重构、储集层参数预测等测井处理解释方面初步应用,并显现出巨大潜力;计算机视觉技术在初至波拾取、断层识别等地震处理解释方面应用已有成效;油藏工程领域深度学习和最优化技术已开始应用于水驱开发实时调控、产量预测等方面;数据挖掘在钻完井、地面工程等领域的应用初步形成了智能化装备、一体化软件。未来人工智能在石油勘探开发领域潜在的发展方向为智能生产装备、自动处理解释和专业软件平台,发展重点为数字盆地、快速智能成像测井仪器、智能化节点地震采集系统、智能旋转导向钻井、智能化压裂技术装备、分层注采实时监测与控制工程等技术。表1参19
匡立春
,
刘合
,
任义丽
,
罗凯
,
史洺宇
,
苏健
,
李欣
. 人工智能在石油勘探开发领域的应用现状与发展趋势[J]. 石油勘探与开发, 2021
, 48(1)
: 1
-11
.
DOI: 10.11698/PED.2021.01.01
According to the actual demands of petroleum exploration and development, this paper describes the research progress and application of artificial intelligence technology in the field of petroleum exploration and development, and discusses the applications and development directions of artificial intelligence technology in the future. Machine learning technology has preliminary application in lithology identification, logging curve reconstruction, reservoir parameter prediction and other logging processing and interpretation, and has shown great potential. Computer vision is effective in the seismic first breaks picking, fault identification and other seismic processing and interpretation. Deep learning and optimization technology has been applied to reservoir engineering, and realized the real-time optimization of waterflooding development and prediction of oil and gas field production. The application of data mining in drilling and completion, surface engineering and other fields has formed intelligent equipment and integrated software. The potential development directions of artificial intelligence in the field of petroleum exploration and development are intelligent production equipment, automatic processing interpretation and professional software platform. The focus of development is digital basin, fast intelligent imaging logging tool, intelligent node seismic acquisition system, intelligent rotary steering drilling, intelligent fracturing technology and equipment, real-time monitoring and control engineering of separate layer injection and production.
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