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Keywords: machine learning
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Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34988-MS
... value. inflow performance well intervention fluid dynamics completion installation and operations artificial intelligence flow in porous media production monitoring well performance production control production enhancement downhole intervention formation damage machine learning...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34767-MS
... executed by geomechanics experts. The procedures are usually complicated and time-consuming due to subsurface complexity, and the results are highly dependent on the executor's expertise. In this paper, we presented a machine learning method to train a digital geomechanics model for pore pressure...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34819-MS
... intelligence (AI) technology, using machine learning algorithms to optimize well locations may be a fast and reliable solution. The research started with data processing. Firstly, data related to well location optimization parameters are collected and pre-processed, such as data filling and data normalization...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34808-MS
..., but the isolated big aquifers promise umpteen potential. Dispersion modelling studies suggests unlikely leakage of CO 2 at seabed in qualified storage site and not affecting the marine environment. risk and uncertainty assessment reservoir geomechanics risk management machine learning geology co 2...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34762-MS
... reservoir surveillance log analysis petroleum geology production control clastic rock rock type production logging well logging reservoir characterization realization result machine learning facies saturation iteration malaysia economic geology perforation scenario ref study utilizing...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34872-MS
... from this model and the process used herein could be scaled up to consider other properties, i.e. ultra-sonic cement analyzer UCA, fluid loss, free fluid, etc. casing and cementing cement property cement chemistry machine learning cement formulation artificial intelligence cement slurry...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34862-MS
... formation well logging geological subdiscipline saturation annual logging symposium reservoir characterization porosity jurassic lianggaoshan formation logging-derived formation evaluation reservoir china sichuan basin structural geology rock type log analysis machine learning jurassic shale...
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
... of these logs where these are required, the cost of the acquisition of the data, and well accessibility issues which sometimes prevent the acquisition of the data. The intent of the project is to use machine learning technology to provide an assessment of cement quality based on learning datasets as inputs...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34896-MS
... multiphase flowmeter machine learning flowrate flowmeter multiphase flowrate operator deviation pipeline multiphase virtual flow metering quantification calibration offshore technology conference accuracy Introduction Production quantification in the context of subsea well operations hold...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34894-MS
... for trajectory prediction are based on models with numerous assumptions, limiting their simultaneous applicability. Moreover, some existing machine learning algorithms overlook the impact of drilling modes (sliding or rotating) and Bottom Hole Assembly (BHA) types, necessitating improvements in their accuracy...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-35024-MS
... carbon dioxide (CO 2 ) emissions and driving risk in the field by reducing personnel visiting the well pad. deep learning operation tight gas production control complex reservoir artificial intelligence machine learning application reservoir surveillance artificial lift system algorithm...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34917-MS
... injection new zealand supercritical co2 geologist deep learning rock type taranaki basin reservoir architecture deep-learning framework subsurface storage machine learning formation effectiveness Introduction Due to its capacity to store CO2 in subterranean reservoirs, carbon capture...

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