...) : GAN stands for Generative Adversarial Network, a type of deep learning model used to generate new data like training data. GANs have been utilized effectively for several applications, such as text generation, music composition, and picture synthesis. GANs consist of two neural networks: a generator...

... control system. Implementation and scaling across a rig fleet will also be discussed. Using a patented process ( Scotvold et al. 2020 ), an application was developed to run on the rig's process control system, where AutoDriller setpoints are automatically adjusted as the tool joints pass through...

... the cluster Recovery of production from matured "locked-in" reserves Production facilities revamp and integrity management Deployment of cost-effective processes and new technology applications for CAPEX and OPEX reduction The asset management activities included successful deployment of seismic...

... recovery reduction rotary vane compressor compressor recovery screw compressor air emission liquid ring compressor application expenditure selection petroleum development oman microturbine gas recovery flow rate pdo low-pressure gas gas recovery system zero-routine flaring initiative...

..., particularly for larger annulus spaces, such as 9 5/8″ × 13 3/8″. The objective is to proactively eliminate the risk of Sustained Casing Pressure (SCP) in the production and intermediate casing annuli. The method used to demonstrate this system's applicability involves having bismuth alloy disks...

... predictors). However, even these sophisticated approaches face challenges associated with general, non-specific applicability, robustness, and interpretability. While the best approaches tackle some of these challenges, they often fail to address all of them simultaneously. Furthermore, we found...

... application well construction control room data source real time ai model Introduction The oil and gas industry is at a crossroads, where efficiency and precision in decision-making, especially in the field of well construction, are more crucial than ever. Drilling control rooms, in charge...

... performance optimization problem choke erosion anomaly application sankaran well and reservoir management shut-in event conference and exhibition pi decline pso system Our digital solution integrates various reservoir and production workflows. Event detection algorithms, strategically designed...

... Recently, the application of PA systems has expanded beyond shales into conventional tight rock with encouraging results. Several authors ( Moiseenkov et al., 2021 ; Chaplygin D. et al., 2021 ; and Fragachan F. et al., 2024 ) have shown that 4-10 gpt HVFR fluids can be used in place...

... to environmental concerns, while stoking interest in the discipline, to address workforce needs in the oil and gas sector. The novelty of this work is providing a hands-on, application-based approach to guide young students from underrepresented communities to a rewarding yet exciting career. Giving students more...

... be computationally demanding and not practical for some practical applications at hand. For this reason, interest in surrogate reservoir models (or proxies) has been growing as computationally efficient alternatives for the full reservoir simulators. The idea is replacing the rigorous fluid flow equations and high...

... is new in relative terms to the past 100 years of industry cementing experience (e.g., circa 2008 with first publication). The technique is becoming more prevalent to overcome challenging well integrity requirements which should help the industry achieve zonal isolation for applications previously deemed...

... the gap between the capabilities of general pre-training LLMs and the specific application requirements of vertical industries. Fine-tuning requires modifying the parameters of LLMs, which involves data preparation, iterative training, and finally updating the model. There are many methods for fine-tuning...

..., and will benefit from more comprehensive study to support confidence in field application. deformation mathematics of computing hydraulic fracturing casing and cementing complex reservoir geologist geology multistage fracturing drilling operation reservoir characterization ovality diameter...

... machine learning arxiv preprint arxiv application latent representation chen Introduction Reservoir simulation is a computational process used to model multi-physics behaviors of fluids within the subsurface reservoir over a specified spatiotemporal domain. It primarily focuses on utilizing...

... sustainability drilling fluids and materials cement formulation slurry composition retarder building material cement production oil well application efficiency retarder and viscosifier innovative redefinition retarder concentration lb 100 construction and building material red mud cement sample...

..., temperature and salinity conditions, so as to be directly applicable to assess the candidacy of the field for CCS applications. The novelty of this work lies in the development a fast, convenient, and easy-to-implement physics-based modeling framework to evaluate the corrosion rates within legacy...

... application. geology drillstem/well testing reservoir surveillance module transmission production monitoring requirement production control antenna geologist drillstem testing transmitter receiver voltage application characteristic electromagnetic wave transmitter oil well conductivity...

... the economic and environmental benefits of transitioning to sustainable technologies in the oil and gas industry. climate change compressor application air emission efficiency inflation reduction act energy credit reliability methane emission operator deployment incentive pneumatic device...

... liner cannot stimulate the reservoir beyond 4 ft from the well bore and specifically layered reservoir with poor vertical communication & separated with dense layers in between have limited application. Whereas fishbone stimulation completions have capability to connect multi layers vertically...