.../slip vibration. One drawback of AI methods, however, is their limited applicability to wells in the same field with similar geological formations and bottomhole assemblies (BHAs). The complete paper presents trained and tested machine-learning (ML) models capable of predicting the stick/slip severity...

... automation drilling system drilling equipment autonomy taxonomy artificial intelligence automation operator system-of-system approach autonomous drilling system intervene autonomous vehicle vehicle drilling system automation subsystem level wardt autonomous system jpt application...

... dart application circulation drilling operation sustainability advanced solution pipe sustainable development hypr holesaver complex drilling challenge circulation technology dav mx circulation sub incident environmental regulation CASE STUDY Advanced Solutions for Complex Drilling...

... computationally for short-term decision cycles. As an alternative, reduced physics models often have a limited range of applicability. Pure machine-learning (ML) models often lack physical interpretability and can have limited predictive power. To address these challenges, the authors propose hybrid models...

...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 219101, “Advancing Predictive Precision in CO 2 Minimum Miscibility Pressure: An Interpretable AI Approach for CO 2 EOR and CCUS Applications,” by Fahimeh Hadavimoghaddam, Ufa State...

... into the application of RTA in mature fields. The authors propose an innovative workflow that leverages historical data sources often overlooked, highlighting the transformative potential of RTA in reinvigorating development strategies for aging tight reservoirs. The goal is to understand, optimize, and revolutionize...

... and flow-assurance applications. With ever-increasing data acquisition volumes, data-labeling and categorization problems increase in lockstep. After all, how well can your luggage be found without proper tagging? Anyone remember the 2022 summer of lost luggage? The value proposition of paper SPE 218865...

... and target variables. One of the key advantages of RF is its ability to handle high-dimensional data and many input variables, making it suitable for applications such as genomic data analysis and image recognition. It also provides feature-importance measures, which can be used for feature selection...

... application platform machine learning energy demand vice president source training program productivity One of several quadruped robots, often called robotic dogs, found on the exhibition floor at the recent Abu Dhabi International Petroleum Conference. Source: ADIPEC. 18 JPT | December 2024 IN ABU...

... SPE for permission to use material from this document. drilling equipment drilling operation robot rig floor artificial intelligence championx driller source software nabors robotic application automation artificial lift system halliburton milosevic automation and robotic...

...Chris Carpenter _ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 35341, “Enhancing Energy Efficiency and Operability in Offshore Drilling Operations: Validation and Benefits of a Machine-Learning-Based Vessel-Motion-Prediction Application...

... partially by SPE. Contact SPE for permission to use material from this document. rig major offshore topdrive drilling operation drilling evolution source drilling equipment drilling rig land drilling rig pipe artificial intelligence driller application directional drilling reid ac...

... as a pure, water-saturated product. Lean amine is pumped from the stripper reboiler to the absorption column for reuse in capturing CO 2 . Finally, the CO 2 is directed to byproduct-management systems. The pure CO 2 streams produced from the system may be sequestrated or used for applications...

..., the use of rhamnolipids as biosurfactants, and the application of graphene nanoplatelets (GNPs) as scale inhibitors. Each of these technologies offers a unique approach to improving efficiency and reducing environmental footprint. Lithium, a critical component in lithium-ion batteries used for electric...

... has not been peer reviewed. _ The annual demand for lithium for low-carbon technology applications has been growing exponentially. A necessity exists in the current environment for continuous lithium production from both conventional sources and novel extraction sites from alternative brine resources...

... analysis artificial intelligence production control inflow performance reservoir surveillance machine learning workflow production monitoring identification well monitoring history derivative regime automated workflow use pressure application rate measurement metric transient...

... reservoir. Copyright 2024, Offshore Technology Conference structural geology floating production systems salt tectonics reservoir marginal presalt reservoir reservoir characterization tieback sururu reservoir central manifold reduction limitation scenario application geologist...

... Hernandez, Louis Ray, Francisco Alhanati, James Hall, Lawrence Camilleri, and Toby Pugh. engineering hernandez guitian university artificial lift technology editor artificial lift system hall spe legend conoco ray alhanati shell gas lift contribution application lawrence camilleri 1...

...-driven approach coupled with advanced analytics could support energy efficiency across the value chain. The papers presented here highlight uncertainties and challenges incurred during the production of natural gas and the application of innovative technologies and advancement in digitalization...

... and shape a bright future for the oil and gas industry. Continual improvement in advanced and innovative technology of subsea systems and applications has overcome several upstream challenges in terms of design, environment, economics, operational risks, and constraints efficiently and effectively. Because...