摘要
勘探开发领域数据正在呈指数级增长,只有发展更高级的数据处理方法才能适应其增长速度,具备易于学习、可读性高、拥有海量第三方库等优点的Python在这一领域中的应用愈发广泛。详细讨论Python在数据处理、地质建模、深度学习和可视化等方面的应用,举例强调Python在这些方面取得的突出成效,展望了油气勘探开发行业未来的发展方向,包括数据科学、人工智能和自动化等领域,指出Python对油气勘探开发的帮助与影响是巨大的,油气勘探开发行业与Python在数据科学、人工智能和自动化等多领域的结合也将愈发紧密。同时软件开发人员也需要了解Python的局限性,从而使Python与软件开发人员两者相辅相成,以期在油气勘探开发领域取得更加显著的成效。
The data usage in the oil and gas exploration and development is growing exponentially,and only by developing more advanced data processing methods can we keep up with the rapid growth of big data.Therefore,Python programming language is increasingly gaining popularity in this field due to easy learning,high readability and massive library of third-party modules.This paper will discuss in detail the applications of Python in data processing,geological modeling,deep learning,and visualization,and give examples to highlight its significant achievements in these areas.Finally,this paper looks forward to the future direction of the oil and gas exploration and development industry,including data science,artificial intelligence,and automation;and points out that Python will play an increasingly significant role in these areas.The conclusion of the article is that Python's help and influence on oil and gas exploration and development is enormous,but developers also need to understand the limitations of Python and choose appropriate tools and techniques to achieve more remarkable results in oil and gas exploration and development.
作者
顾晓东
梁琰
李静叶
张希晨
刘晓波
杜长江
GU Xiaodong;LIANG Yan;LI Jingye;ZHANG Xichen;LIU Xiaobo;DU Changjiang(Research&Development Center,Bureau of Geophysical Prospecting Inc.,Zhuozhou,Hebei,072750,China)
出处
《天然气与石油》
2023年第4期131-137,共7页
Natural Gas and Oil
基金
中国石油天然气集团有限公司科研项目“页岩油气地震地质工程一体化储层评价关键技术研究”(2021DJ3705)。
关键词
油气勘探开发
PYTHON
数据处理
地质建模
深度学习
可视化
Oil and gas exploration and development
Python
Data processing
Geological modeling
Deep learning
Visualization
