According to news reportingfrom the Department of Petroleum Engineering by NewsRx journalists, research stated, "One of the mainapplications of carbon capture, utilization, and storage (CCUS) technology in the industry is carbon-dioxideenhancedoil recovery (CO2-EOR)."Robotics & Machine Learning Daily...
Digital twins, along with the internet of things (IoT), data mining, and machine learning technologies, offer great potential in the transformation of today’s manufacturing paradigm toward intelligent manufacturing. Production control in petrochemical industry involves complex circumstances and a high dema...
China University of Petroleum Researcher Describes Findings in Machine Learning (Adaptive spatiotemporal neural networks based on machine learning for missing well-log prediction) 来自 掌桥科研 喜欢 0 阅读量: 13 摘要: By a News Reporter-Staff News Editor at Network Daily News – Investigatorspublish...
Petroleum & Petrochemical Engineering Journal Committed to Create Value for researchers A Machine Learning Approach to Modeling Pore Pressure A Machine Lea... A Tanko,I Tanko 被引量: 0发表: 2020年 Applications of artificial intelligence in engineering VIII Volume 1 Design, methods and techniques. ...
This study offered a detailed review of data sciences and machine learning (ML) roles in different petroleum engineering and geosciences segments such as petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation, emphasizing the newly emerging field of unconventi...
Machine learning assisted seismic interpretation: Machine learning (ML) assisted seismic interpretation enables users to run geoscientist-driven, ML-assisted, fault and horizon prediction workflows on-premise, significantly improving accuracy and efficiency. The faulted discontinuities within 3D seismic volum...
As a result, the use of data analytics to improve real-time intelligent field decision making in the petroleum industry has grown significantly. Popa et al. (2015) employed a data analytics model to improve the quality of heavy oil reservoir management decisions. To get solutions of critical ...
Petroleum Analytics Learning Machine (or PALM) system is a machine learning based, “brutally empirical” analysis system for use in all upstream and midstream oil and gas operations.
More than 40% of the casing-collapse incidents are located in Gachsaran formation member 4, and 26% of those incidents in Gachsaran formation member 2. 3. Methodology The research workflow is based on three components: laboratory mechanical tests, a geomechanical model and the machine learning ...
learning process like human beings29. Units have interconnections between them and have weights that are multiplied by the values that go through them. Unit has a fixed input known as bias; each unit forms a weighted sum where bias is added. Transfer function analyzes this sum. Prediction of ...