首页|Research Findings from China University of Petroleum Update Understanding of Art ificial Intelligence (The Application Potential of Artificial Intelligence and N umerical Simulation in the Research and Formulation Design of Drilling Fluid Gel ...)
Research Findings from China University of Petroleum Update Understanding of Art ificial Intelligence (The Application Potential of Artificial Intelligence and N umerical Simulation in the Research and Formulation Design of Drilling Fluid Gel ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news reporting out of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “Drilling fluid is pivotal for effi cient drilling.” Financial supporters for this research include National Natural Science Foundati on of China. Our news journalists obtained a quote from the research from China University of Petroleum: “However, the gelation performance of drilling fluids is influenced by various complex factors, and traditional methods are inefficient and costly. Artificial intelligence and numerical simulation technologies have become transf ormative tools in various disciplines. This work reviews the application of four artificial intelligence techniques-expert systems, artificial neural networks ( ANNs), support vector machines (SVMs), and genetic algorithms-and three numerica l simulation techniques-computational fluid dynamics (CFD) simulations, molecula r dynamics (MD) simulations, and Monte Carlo simulations-in drilling fluid desig n and performance optimization. It analyzes the current issues in these studies, pointing out that challenges in applying these two technologies to drilling flu id gelation performance research include difficulties in obtaining field data an d overly idealized model assumptions. From the literature review, it can be esti mated that 52.0% of the papers are related to ANNs. Leakage issues are the primary concern for practitioners studying drilling fluid gelation perf ormance, accounting for over 17% of research in this area.”
China University of PetroleumBeijingPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningMathematicsNumerical ModelingTechnology
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