... speed whilst maintaining model accuracy, and the final equation is as per Equation 2 : A fix time-based emission tracking based on sampling will only yield batch data besides labour intensive offshore visits to take the measurements, while opting for a fixed analyser for GHG emission will need...

.... After maximum pooling, the feature is even filtered out. So, these two methods can reduce contrast between the feature and the background, and thus may reduce the accuracy of the model. This study uses discrete wavelet transformation as the pooling method for a CNN model, which effectively saves...

... operators is discussed, from the subsea industry first applications 20 years ago. controls and umbilicals subsea processing accuracy application electrical industrial apparatus upstream oil & gas actuation system requirement artificial intelligence subsea battery operation actuator...

... production – Difference between actual vs predicted RVP. This is to visualize current model accuracy – Captured Benefit As of December 2021, the CSO solution has been fully utilized for 5 months, i.e. Go-Live since August 2021. During this period, it has successfully delivered not only safe...

..., some statistical error analyses, namely, the average absolute percentage relative error (AAPRE), and the correlation coefficient (R) were performed to present the robustness and accuracy of the proposed model. The findings from the trend analysis showed the sound relationships between the inputs...

... simulate the moving partition in channel rather than the static partitioning between brine and oil. chemical tracer upstream oil & gas concentration tracer enhanced recovery tracer zone accuracy injection well tracer test analysis equilibrium mass density residual oil saturation...

... Abstract Central Luconia has been explored with hundreds of well since the 1950s. During that time, all offshore wells were drilled using hyperbolic positioning system which has lower accuracy compare to current satellite positioning system, which was only introduced in early 1990s...

... of similar AI methods throughout the oil and gas industry. artificial lift system neural network artificial intelligence testing sample esp module accuracy deployment workflow deep learning model data mining machine learning upstream oil & gas deep learning esp critical event...

... accuracy connection evaluation algorithm disposition machine learning upstream oil & gas field trial evaluation reduction offshore technology conference graph diagnosis well integrity intelligent algorithm Introduction In oil and gas operations, tubular components are installed...

... sensor data correlate and contribute to the classification of sedimentary layers. logistic regression wellbore decision tree learning upstream oil & gas deep resistivity accuracy neutron porosity micro resistivity prediction artificial intelligence resistivity tvd algorithm...

... such as scale effects and basin boundary truncations are discussed. Ongoing research into novel model testing methods currently being carried out and their potential to improve the accuracy and reliability of full-scale predictions are pointed out. CFD or so-called numerical wave tank is a relatively mature...

... cleaning and maintenance pig runs. The ability to inspect while cleaning reduces the requirement for mobilizing high value, MFL based ILI tools which additionally reduces personnel on board and improves operation economics. pipeline corrosion operator machine learning accuracy pipeline upstream...

... or density log are missing. artificial neural network actual sonic transit time artificial intelligence reservoir bulk density sand model application prediction accuracy predict sand production machine learning flow assurance sonic transit time offshore technology conference investigation...

.... Directional drilling service companies are encouraged and challenged to improve the efficiency and accuracy of RSS mechanisms, improving the hole quality and reducing micro-doglegs. mechanism rotary steerable system aac directional drilling average tortuosity point-the-bit steering mechanism...

..., the ANFIS-GA based model had a better performance over other models. The present study show that the AI technology can be incorporated in water saturation prediction workflow from pre-statck seismic data which result in superior accuracy and performance in fluid flow calculations and time lapse seismic...

... for sensitivity studies in order to select an optimized concept. steel catenary riser rapid spectral fatigue analysis spectral fatigue analysis accuracy simulation artificial intelligence fatigue analysis spectrum upstream oil & gas transfer function random process stress cycle wave scatter...

... technology conference short crested wave operation individual wave upstream oil & gas target point accuracy wave prediction crested wave case drone observation point full observation ship wave elevation data true data prediction J. Dannenberg , . : The On Board Wave...

... particle crespo particle resolution accuracy upstream oil & gas Crespo , A. C. , Dominguez , J. M. , Barreiro , A. , Gómez-Gesteira , M. , & Rogers , B. D. ( 2011 ). GPUs, a new tool of acceleration in CFD: efficiency and reliability on smoothed particle...

..., temperature tracking, velocity constraints etc., are discussed and its implications on model runtime and accuracy is presented. The understanding is important to make IAM more efficient and effective to carry out the different scenario analysis. The results show the flow assurance model comprised of detailed...

... accuracy Abstract Abstract Semisubmersible rigs have capacity for drilling in water depth ranging from shallow (>400 ft.) to ultra-deep water (>10,000ft). Station keeping and rig positioning over the well centre during drilling, completion and testing operation is achieved either by anchoring...