[HTML][HTML] Intelligent drilling and completion: a review

G Li, X Song, S Tian, Z Zhu - Engineering, 2022 - Elsevier
The application of artificial intelligence (AI) has become inevitable in the petroleum industry.
In drilling and completion engineering, AI is regarded as a transformative technology that …

Well placement optimization: A survey with special focus on application for gas/gas-condensate reservoirs

H Nasrabadi, A Morales, D Zhu - Journal of Natural Gas Science and …, 2012 - Elsevier
Well placement within a reservoir is a challenging step in the reservoir development
process. Determining the optimal well location is a complex problem involving many factors …

Determination of oil well placement using convolutional neural network coupled with robust optimization under geological uncertainty

S Kwon, G Park, Y Jang, J Cho, M Chu, B Min - Journal of Petroleum …, 2021 - Elsevier
This study integrates a convolutional neural network (CNN) within the framework of robust
optimization for determining the placement of an oil production well at a petroleum reservoir …

Joint optimization of number of wells, well locations and controls using a gradient-based algorithm

F Forouzanfar, AC Reynolds - Chemical Engineering Research and Design, 2014 - Elsevier
This paper presents a detailed algorithm for solving the general well-placement optimization
problem in which the number of wells, their locations and rates are simultaneously optimized …

Well-placement optimisation using sequential artificial neural networks

I Jang, S Oh, Y Kim, C Park… - Energy Exploration & …, 2018 - journals.sagepub.com
In this study, a new algorithm is proposed by employing artificial neural networks in a
sequential manner, termed the sequential artificial neural network, to obtain a global …

Joint optimization of well locations, types, drilling order, and controls given a set of potential drilling paths

R Lu, AC Reynolds - SPE Journal, 2020 - onepetro.org
Much work has been performed on the optimal well placement/control problem, including
some investigations on optimizing well types (injector or producer) and/or drilling order …

智能钻井技术研究现状及发展趋势

**根生, 宋先知, 田守嶒 - 石油钻探技术, 2020 - syzt.com.cn
随着油气勘探开发逐渐向非常规, 低渗透, 深层, 深水等复杂油气领域发展, 钻井工程在安全,
经济和效率等方面面临一系列难题和挑战. 基于大数据和人工智能等前沿技术的智能钻井技术 …

[HTML][HTML] A novel approach to optimising well trajectory in heterogeneous reservoirs based on the fast-marching method

Z Lyu, Q Lei, L Yang, C Heaney, X Song… - Journal of Natural Gas …, 2021 - Elsevier
To achieve efficient recovery of subsurface energy resources, a suitable trajectory needs to
be identified for the production well. In this study, a new approach is presented for …

Optimization of the well locations and completions for vertical and horizontal wells using a derivative-free optimization algorithm

F Forouzanfar, AC Reynolds, G Li - Journal of Petroleum Science and …, 2012 - Elsevier
We introduce a new methodology for the estimation of the location of horizontal and vertical
wells that maximizes the life-cycle net-present-value (NPV) of production from a given …

Well-placement optimization using a derivative-free method

F Forouzanfar, AC Reynolds - Journal of Petroleum Science and …, 2013 - Elsevier
A new well-placement optimization algorithm for the estimation of the trajectory of directional
wells is introduced to maximize the life-cycle net-present-value (NPV) of production from a …