智能钻井技术研究现状及发展趋势
李根生， 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 …
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 review of torsional vibration mitigation techniques using active control and machine learning strategies
Drilling is one of the most challenging and expensive processes in hydrocarbon extraction
and geothermal well development. Dysfunctions faced during drilling can increase the non …
and geothermal well development. Dysfunctions faced during drilling can increase the non …
[HTML][HTML] Real-time prediction of rheological properties of invert emulsion mud using adaptive neuro-fuzzy inference system
Tracking the rheological properties of the drilling fluid is a key factor for the success of the
drilling operation. The main objective of this paper is to relate the most frequent mud …
drilling operation. The main objective of this paper is to relate the most frequent mud …
A robust rate of penetration model for carbonate formation
A Al-AbdulJabbar, S Elkatatny… - Journal of …, 2019 - asmedigitalcollection.asme.org
During the drilling operations, optimizing the rate of penetration (ROP) is very crucial,
because it can significantly reduce the overall cost of the drilling process. ROP is defined as …
because it can significantly reduce the overall cost of the drilling process. ROP is defined as …
Application of artificial neural network to predict the rate of penetration for S-shape well profile
A Al-Abduljabbar, H Gamal, S Elkatatny - Arabian Journal of Geosciences, 2020 - Springer
The rate of penetration (ROP) is defined as the required speed to break the drilled rock by
the bit action. The existing established models for estimating the rate of penetration include …
the bit action. The existing established models for estimating the rate of penetration include …
New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks
The rheological properties of the drilling fluid are crucial to the success of the drilling project.
The traditional mud experiments normally performed by the mud engineers provide …
The traditional mud experiments normally performed by the mud engineers provide …
Coupling rate of penetration and mechanical specific energy to Improve the efficiency of drilling gas wells
Drilling operations for oil or gas wells are very expensive. Optimizing the drilling efficiency
and increasing the rate of penetration (ROP) will reduce the overall cost of the drilling …
and increasing the rate of penetration (ROP) will reduce the overall cost of the drilling …
Rock drillability intelligent prediction for a complex lithology using artificial neural network
The fourth industrial revolution and its vision for developing and governing the technologies
supported artificial intelligence (AI) applications in the different petroleum industry …
supported artificial intelligence (AI) applications in the different petroleum industry …
Wellbore temperature distribution during circulation stage when well-kick occurs in a continuous formation from the bottom-hole
Z Zhang, Y Xiong, Y Gao, L Liu, M Wang, G Peng - Energy, 2018 - Elsevier
In the exploration and development of deep reservoir resources, the occurrence of well kick
will have a very important impact on wellbore temperature distribution during circulation …
will have a very important impact on wellbore temperature distribution during circulation …
[HTML][HTML] Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques
S Elkatatny - Ain Shams Engineering Journal, 2021 - Elsevier
Predicting the rate of penetration (ROP) plays a key role in the success of the drilling
operation. It is not an easy task to predict the ROP with high accuracy as it depends on …
operation. It is not an easy task to predict the ROP with high accuracy as it depends on …