... will change the world of routine corrosion simulation and monitoring. Also, it can be supplied to any routine engineering simulations. For this project, the well will be produced safely with close monitoring of corrosion and an alarm system. h2s management well integrity asia government artificial...

... operation automated rig state activity machine activity record upstream oil & gas artificial intelligence daily drilling reporting data driven daily drilling reporting automated data-driven model INTRODUCTION Daily Operational Reporting is an integral process of any drilling operation...

... of well construction activities. well planning engineer efficiency upstream oil & gas artificial intelligence information application workflow leveraging digital transformation planning & scheduling machine learning platform modeling accuracy wellbore geometry trajectory...

... steps would be to hook these systems directly to drive rigs and tools with the human now as the monitor. drilling operation real time system upstream oil & gas cloud computing artificial intelligence cinderella drilling automation drilling advisory system construction app reduction...

... this new scenario. This paper will present how a partnership between Ocyan, an ultra-deep-water Drilling Contractor and RIO Analytics, an A.I. technology company that develops solutions for failure prediction of industrial assets, is using artificial intelligence and Data Analytics to manage and control...

... using digital solutions such as data extraction, visualization, and in-depth analysis. For example, the first successful project under robotic process automation utilizes text analytic and Artificial Intelligence (AI) techniques to analyze well conditions and integrity status from unstructured data...

.... As next step the massive database of the end of well reports, post-job reports, daily drilling reports, etc was created with few tens of millions entry points. Further the artificial intelligence in combination with data analytics was used to replicate the previously mapped workflows. As the result...

... Abstract To evaluate and report the benefits of artificial intelligence driven digital engineered breakdown in a pulsed fracturing technique that has been successfully applied for the first time globally in the western desert of Egypt. In this paper, we will discuss how the artificial...

... time of the rig. artificial intelligence rig information machine learning noise case study platform efficiency algorithm hydraulic efficiency upstream oil & gas optimization variation data analytic drilling contractor equipment performance operation rig operational efficiency...

... and creates normalized formation testing ratios which are then compared to the results documented on the sand retention Mastercurves. This paper is intends to discuss the worklflow and results of its field application. upstream oil & gas sand control well logging field iii proppant artificial...

... recording of underwater lives. The video footage was then analyzed by Artificial Intelligence (AI)software using an object detection method for determining the animal's categorization, then using machine learning algorithm for more accuracy. This concept can visualize aquatic animals around the platform...

... analysis upstream oil & gas artificial intelligence production monitoring dataset determination regression iadc spe-209899-ms structural geology reservoir surveillance production control cross-section prediction accuracy new mexico drillstem testing well logging reservoir...

.... It is an important basis for drilling tool optimization, drilling parameter design and real-time optimization, and helps to improve the intelligence level and construction efficiency of drilling engineering. upstream oil & gas machine learning dnn-tcn composite neural network artificial intelligence...

... in Songliao Basin China. The average daily oil production was 18.5 tons/day after refracturing treatment. This research could provide significant guidance for the development of tight oil reservoirs. hydraulic fracturing selection formation pressure artificial intelligence upstream oil & gas...

... stress concentration anisotropic factor elliptical factor wellbore fracture stress state wellbore instability artificial intelligence muskhelishvili method conformal transformation numerical solution equation In petroleum industry, drilling a well is a major event when a deep hole...

... production chemistry artificial intelligence upstream oil & gas accident statistics corrosion management hydrogen sulfide oil effect group causative factor exhibition oilfield chemistry h2s management drilling process dematel algorithm network diagram blowout accident causative model...

... drilling conference casing shoe mpd optimization method well control flow rate whp gas influx maximum allowable whp derivative wellbore artificial intelligence variation open hole gas kick technology conference hydrostatic pressure Introduction The difference of Q in and Q out...

... to be the forefront innovation that will leap through the norm and lead the region in a greater plan of drilling automation system. machine learning drilling operation artificial intelligence upstream oil & gas stuck pipe wasp indicator mechanism incident module wellbore integrity wellbore design...

... and formulation drilling fluid management & disposal cement formulation drilling fluids and materials information fusion drilling fluid formulation casing and cementing drilling fluid property cement chemistry cement property artificial intelligence fluid loss control simulation international...

... sophisticated sensors or data transmission processes downhole. drilling operation artificial intelligence frequency neural network accuracy dynamic predictor prominent predictor presented prediction accuracy artificial neural network random forest rock formation machine learning upstream oil...