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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215236-MS
... innovations in business processes, application of design thinking methodology, agile development, and AI. The AI waterflood management solution combines cloud technologies, big data processing, data analytics, machine learning algorithms, robotics, sensors and monitoring system, automation, edge gateways...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215253-MS
... differential equation injection geology neural network modeling & simulation storage validation numerical simulation zhang surrogate model reservoir simulation flow in porous media machine learning correlation cumulative co 2 prediction mole fraction numerical reservoir simulation vq-vae...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215222-MS
... to human error and human bias. To maximize the utilization of unstructured data, a machine learning (ML) based solution is proposed to develop new sand control best practices to enhance oil and gas production in new and mature fields. The ‘ multi-modal’ solution utilizes ML technology stack such as Deep...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215205-MS
... Abstract Advances in machine learning algorithm and the discoveries of various open source codes in recent years have led to a new insight in utilizing legacy data to delve into the unknown generating something out of poor data availability and presence. Subsurface evaluation of reservoir...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215327-MS
...-consuming. This paper introduces an automated approach using computer vision and random forest algorithms to streamline the process, providing a more efficient method for noise reduction, multi-level thresholding, machine learning (ML) model training, and application to SEM images for quartz overgrowth...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215292-MS
... Abstract Several studies have used machine learning-based techniques to improve the production behavior prediction in existing shale gas wells. However, few studies have investigated production prediction in new wells wherein no prior information is available. This is challenging because...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215274-MS
... learning production oil 15 breakthrough injection polymer injection utilizing petroleum science katterbauer water 15 deep learning log interpretation framework norway government water management machine learning carbon footprint residual polymer efficiency Introduction Field...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215265-MS
... database. The system's operational data in real-time has been mapped to simulation findings using a data science model. Optimization workflow for different kinds of problems has been speculated up and made. This process is integrated using cloud service and machine learning deployment environment...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215318-MS
... production control petroleum engineer surveillance production monitoring value liquified natural gas (lng) reservoir surveillance calculation society mrt reservoir surveillance data node reliability field producing machine learning information voi calculation paper Introduction...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215306-MS
... development upstream oil & gas reservoir simulation production control reservoir characterization co 2 scaling method climate change equation of state europe government enhanced recovery cgnet machine learning sequestration partition aquifer saturation calibrate brine extraction...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215341-MS
... testing asia government united states government upstream oil & gas neural network drillstem testing production logging production control artificial intelligence machine learning deep learning production forecasting reservoir surveillance equation history matching reservoir simulation...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215380-MS
... is to predict synthetic caliper using logging while drilling (LWD) measurements (notably azimuthal density and petrophysical properties) with the help of artificial intelligence (AI) and machine learning algorithms that can be used in place of wireline caliper data thereby saving rig and logging costs and hence...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215439-MS
..., then it followed up with appropriate action that successfully prevented potential safety hazard. upstream oil & gas geologist indonesia government deep learning geology producer sagd machine learning heavy oil play asia government petroleum play type enhanced recovery unconventional play...

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