... Bongkot North (GBN) wellhead platforms. upstream oil & gas platform electrical industrial apparatus specification artificial intelligence controller real time system air transportation inspection angle rate controller application control algorithm dronebox system flight time...

... intervention effort to prevent stuck pipe incidents. The implementation of applications described in this paper could detect an early symptom of wellbore geometry issue; hence proactive action can be taken to avoid a potential stuck pipe event. artificial intelligence wellbore design dogleg severity...

.... enhanced recovery upstream oil & gas machine learning deep learning neural network artificial intelligence ann-based model trend analysis cacl 2 ppm high accuracy testing dataset validation equation application mgcl 2 accuracy input parameter nahco 3 relative error concentration...

... optimization system yielded positive results, with many examples of increased ROP realized after following drilling parameter recommendations provided by the software. machine learning optimization problem artificial intelligence evolutionary algorithm neural network independent well rop estimation...

..., the drilling speed is increased, the drilling time loss caused by stuck drilling is reduced, and the drilling cycle and cost are saved. artificial intelligence drilling fluid management & disposal machine learning drilling fluids and materials wellbore integrity drilling operation wellbore...

... waterflooding artificial intelligence volve field strength enhanced recovery injector good communication strength communication strength well pair communication strength coefficient correlation producer water management upstream oil & gas effectiveness injector-producer well pair injection...

... cutter drilling optimization case history artificial intelligence optimization problem phm ecd limit well duration mahakam inch cutter pdc drill bit offshore technology conference bit selection drilling fluids and materials upstream oil & gas musd bottom rop operator architecture...

... environments and in comparison, with several basins from various parts of the world. reservoir characterization sedimentology carbonate reservoir core analysis complex reservoir fluid dynamics artificial intelligence structural geology information carbonate environment porosity rock typing...

... control equipment flow in porous media reservoir simulation drilling operation horizontal grid resolution fluid dynamics directional drilling resolution artificial intelligence optimization problem upstream oil & gas objective function aicd application horizontal well fluid entry...

... windland flow in porous media flow unit machine learning upstream oil & gas kozeny-carmen equation prediction water saturation estimation capillary pressure curve porosity un-cored interval artificial intelligence fluid dynamics microporosity fzi microporosity quantification reservoir...

... Abstract Real-time sensors are crucial for monitoring electrical submersible pump (ESP) operation. However, manually analyzing the whole data from these sensors is virtually impossible due to its overwhelming volume. Artificial intelligence (AI) is a game-changing tool that can leverage the big...

...-30% OPEX reduction in operating and logistics expenses Reliability better than or equal to attended facilities Green House Gases (GHG) footprint improvement climate change expanding acceptance maintenance air emission nuf artificial intelligence task force upstream oil & gas...

... information well logging upstream oil & gas well schematic feature recognition algorithm interpretation artificial intelligence thickness application offshore technology conference dataset technology conference pipe collar automated corrosion log quality control Introduction...

... are then compared. Notably, time adjustment correlations between the automated and manual well tie are considerably high, around 72%-85%, suggesting that both methods yield similar outcomes, yet the automated well tie gives a slightly higher match between tied synthetic and observed seismic traces. artificial...

...%. The application of this technology is insightful to promote the IoT and intelligence of oilfield artificial lifting system. sustainable development sustainability real time system social responsibility machine learning neural network artificial intelligence upstream oil & gas energy consumption...

.... climate change machine learning chemical flooding methods subsurface storage fluid dynamics artificial intelligence enhanced recovery neural network precipitation prediction greenhouse gas control structural geology permeability brine salinity international journal injection flow rate...

... offshore technology conference artificial intelligence platform petronas igusa 4-legged platform Figure 3 shows the distribution of GUSA/pushover reports considered based on number of legs. It can be seen that data for 4-legged is the most at 102, followed by 3-legged (33 nos), 8 legged (29 nos...

... a mud motor is present within the BHA is presented. This approach, which is based on the careful understanding of the mud motor physics and enables automation of the well construction, would be a forerunner for most artificial intelligence (AI) and machine learning (ML) algorithms used to optimize...

... injectivity in deep saline reservoirs. reservoir characterization flow in porous media chemical flooding methods subsurface storage machine learning artificial intelligence climate change enhanced recovery upstream oil & gas fluid dynamics saline aquifer air emission yusof flow rate...

... to acquire core early in the appraisal of carbonate reservoirs. complex reservoir artificial intelligence central luconia seismic data machine learning upstream oil & gas deposition regional transgression offshore sarawak sarawak early appraisal stage reservoir characterization facies...