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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34778-MS
... optimization automl machine learning lithology prediction classification hyperparameter algorithm artificial intelligence automated machine learning dataset precision lithology prediction derived matthews correlation coefficient information correlation coefficient accuracy Abstract...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34767-MS
... reservoir geomechanics artificial intelligence machine learning prediction algorithm workflow accuracy south china sea chen sonic slowness procedure trajectory hybrid algorithm geostructure pore pressure prediction mechanism geological subdiscipline drilling application technology...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34808-MS
... risk and uncertainty assessment reservoir geomechanics risk management machine learning geology co 2 aquifer workflow caprock scenario injector injection producer saline aquifer experiment geologist artificial intelligence geological subdiscipline uniform saturation...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34762-MS
... result machine learning facies saturation iteration malaysia economic geology perforation scenario ref study utilizing well surveillance data paper artificial intelligence production monitoring geological subdiscipline workflow assimilation algorithm tolerance accumulation kuala lumpur...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34872-MS
... downhole conditions to achieve the required placement times (i.e. thickening time) for the slurry to remain in a liquid state during pumping. This study presents an artificial intelligence model developed to predict the cement slurries thickening time based on historical experimental data, along...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34861-MS
... type recovery modeling & simulation chemical flooding methods flow in porous media polymer injection polymer flooding artificial intelligence salinity viscosity reservoir experiment efficiency history matching injection saturation application permeability conformance improvement...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34862-MS
... 1 - T 2 maps ( Venkataramanan et al. 2018 ; Garcia et al. 2023 ). The interpretation workflows assume that each point in T 1 - T 2 space corresponds at most to one fluid. Fluid typing is done when all the fluid fractions are computed using the artificial intelligence method based...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34857-MS
... in production conditions, slugging characteristics and facilities design. Therefore, strong client engagement is necessary to ensure the most optimal workflow for the technology to be implemented. artificial intelligence separator modification flowline implementation slug mitigation valve flowrate...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34853-MS
..., high computational cost, and difficulties with convergence. geologist hydraulic fracturing deep learning geological subdiscipline fracture reservoir characterization machine learning geology artificial intelligence geothermal reservoir algorithm hydraulic fracture information...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34897-MS
... then be generated. geology machine learning geologist casing and cementing artificial intelligence prediction cbi seismic velocity tvdss despiking accuracy cement and bond evaluation dataset reservoir geomechanics algorithm geological subdiscipline balancing fcnn hoopstress xyoffset cement...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34896-MS
... help lead to timely intervention in potential production-loss scenarios caused by unexpected transients. flow metering data quality artificial intelligence production control vfm module production monitoring instrumentation mpfm reservoir surveillance multiphase flowmeter machine...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34894-MS
... learning trajectory prediction dataset neural network trajectory wellbore trajectory prediction artificial intelligence real-time prediction wellbore trajectory model accuracy algorithm dual-input gru beijing di-gru number mae neuron Introduction Accurate prediction of wellbore...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34892-MS
... simulation scaling method fluid dynamics trendline fitting artificial intelligence permeability flow in porous media machine learning microporosity dataset geoenergy engineering equation trendline fitting equation segmentation malaysia imaging multiscale upscaling study Introduction...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-35024-MS
... loading. To mitigate this issue and hence optimize production, an innovative intermittent solution has been created. With the combination and implementation of cutting-edge artificial intelligence (AI) methods and Industrial Internet of Things (IIOT) technics, an automatic full-cycle closed-loop workflow...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34930-MS
... parameter of the rotation of the top drive, v a is the trip speed, and v r is the rotation speed of the drill pipe. μ k is the coefficient of dynamic friction, assumed to be 0.2. machine learning prediction drilling operation pipe knowledge artificial intelligence conference approach...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-35009-MS
... to clean the marine growth with ROV, the reliability of the ACFM components and difficulty to access tight areas which will be detailed in this paper. inspection rov description artificial intelligence acfm cheaper structural underwater inspection research and development remotely operated...

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