The Special Issue focus will be on machine learning (ML) experimentation and operationalization. ML experimentation refers to the efforts centered on data preparation, algorithm selection and model validation and verification. The issue will accept submi
Over the past few years, machine learning and data analytics have gained tremendous attention as emerging trends in the oil and gas industry. The usage of modern tools and high-end technologies produces a large amount of heterogeneous data. The processing and managing of this data at higher ...
Special Section on Petroleum Data Science and Machine Learning Edited by Silviu Livescu, Ray(Zhenhua) Rui, Birol Dindoruk, Luigi Saputelli, Yasin Hajizadeh, Rami Younis Receive an update when the latest issues in this journal are published ...
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We have different business models to accomodate to your data science, machine learning and artificial intelligence requirements. Data Assessment No idea yet how to start? We can help you with that. For a limited time, Oil Gains Analytics is offering a free of charge Data Assessment. Anywhere in...
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...
Topics include digital well planning and construction,moving teams into Onshore Collaboration Centers, operations with the best machine learning (ML) and metaheuristic algorithms,complex trajectories for wellbore stability, real-time predictive analytics by data mining, optimum decision-making, and case-...
However, the 21st century has witnessed rapid AI development driven by breakthroughs in machine learning, deep learning, big data, and other intelligent methodologies and computer technologies. Applications based on deep learning have matured, significantly reducing labor costs, increasing production ...
Our suite of more than 35 new programs touch upon traditional and up-and-coming technological fields, such as AI and machine learning; cybersecurity and blockchain; robotics and autonomous systems; big data analytics; business analytics; quantum computing; advanced materials; polymers; renewables; ...
Book2021, Machine Learning and Data Science in the Oil and Gas Industry Saeed M. Al Mubarak Explore book In the energy sector, the petroleum industry is still the most important source of energy and the provider of primary material to many industries. This industry is also influenced by the ...