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Keywords: algorithm
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Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31867-MS
.... This paper demonstrates how fully validated signal data from geothermal facility sensors optimize the algorithms dependent on this data. Individual validations of signals are shown and compared to other data streams related to this process. We hypothesize that while some unqualified data may indicate future...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31866-MS
... metocean condition modeling & simulation environmental condition position data machine learning mooring system accuracy fpso api rp 2mim offshore technology conference operational data proceedings algorithm prediction detection algorithm Introduction The importance of mooring...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31892-MS
.... real time system artificial intelligence well logging log analysis upstream oil & gas formation tester onepetro classification variance correlation machine learning formation testing station depth database different well wft response algorithm offshore technology conference good...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31937-MS
... witnessed impressive growth since the ML technology is sufficiently precise, quick, reliable, and cost-effective to model various linear and non-linear problems. In this study, three robust ML algorithms comprising the Decision Tree Regression (DTR), Random Forest Regression (RFR), and Extra Tree...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31938-MS
... algorithms, which find relationships between sensor data and output variables in a training dataset. The approach requires a good understanding of the learning algorithms and statistics. Small datasets or changes in operational conditions limit the suitability of this approach. Hybrid Models combine Physics...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31754-MS
... spontaneous leak detection algorithm sensor negative pressure wave npw-based sensing leak offshore technology conference leak detection application offshore riser Introduction For oil and gas operators, unplanned releases of product from spontaneous pipeline leaks are a serious risk...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31738-MS
... to significant advances in test validation algorithms efficiency and robustness beyond industry standard validation criteria. Utilizing advanced algorithms to verify BOP integrity provides the highest levels of well barrier assurance. Linking rig-site BOP testing and control system monitoring through a cloud...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31803-MS
... reservoir simulation stosag algorithm constraint npv perturbation npv value mnpv function waterflooding algorithm reservoir life unconstrained rc stosag cost function mnpv stosag Introduction In the field of the reservoir engineering, optimization problems are well discussed, due...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31781-MS
... learning well logging reservoir geomechanics upstream oil & gas wellbore log compaction trend calculation log analysis accuracy prediction drilling event algorithm machine learning application decision tree depth-dependent normal compaction trendline pore pressure prediction hazardous...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31780-MS
... distributions (based on core data) are comparatively modeled with well-log data using two tree-based ensemble algorithms: extreme gradient boosting (XGBoost) and adaptive boosting (AdaBoost) configured as classifiers. The predicted lithofacies are then combined with recorded well-log data for analysis...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-32018-MS
.... artificial intelligence background detection machine learning industrial facility variation application algorithm optimization problem accuracy productivity turnaround health & medicine dataset inspection monitoring safety milestone automation offshore technology conference scenario...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-32051-MS
... metric assumption total distance travelled scenario reduction distance travelled material cargo flexibility offshore technology conference time window algorithm delivery Introduction This paper explores two case studies indicating how artificial intelligence can be used to automate...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-32111-MS
.... Consequently, optimizing and predicting ROP is a complex challenge faced by the industry. This study proposes a novel computational intelligence-based (CI) model to predict ROP as a function of multiple readily available mud- and petrophysical- logs. Furthermore, multiple algorithms are utilized...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-32123-MS
... & gas metals & mining neural network recall score tsim efficiency condenser system sensor fouling state precision score subscale condenser system bundle exchanger condenser accuracy prediction algorithm fouling rapid decarbonization flow rate anti-fouling treatment offshore...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-32136-MS
... neural network upstream oil & gas adsorption isotherm prediction cortés scale inhibition adsorption franco algorithm error magnitude asphaltene remediation remediation of hydrates accuracy asphaltene adsorption nanoparticle asphaltene inhibition concentration ai agent asphaltene...
Proceedings Papers

Paper presented at the Offshore Technology Conference, August 16–19, 2021
Paper Number: OTC-30934-MS
... Abstract Machine Learning is an artificial intelligence subprocess applied to automatically and quickly perform mathematical calculations to data in order to build models used to make predictions. Technical papers related to machine learning algorithms applications have being increasingly...
Proceedings Papers

Paper presented at the Offshore Technology Conference, August 16–19, 2021
Paper Number: OTC-30936-MS
... performance comparison milling algorithm offshore technology conference rate of penetration test data mape machine learning section milling process data-driven performance optimization regression bha type model performance algorithm train error section milling Introduction Towards...
Proceedings Papers

Paper presented at the Offshore Technology Conference, August 16–19, 2021
Paper Number: OTC-30919-MS
... and Kriging method in the Gullfaks field for the Tarbert and Ness reservoir zones in Norway to verify the suitability of Inverse Distance Weighting method as an alternative algorithm when there is sparse well data and time constraint to drill new wells. It mainly includes, but not limited to, facies modeling...
Proceedings Papers

Paper presented at the Offshore Technology Conference, August 16–19, 2021
Paper Number: OTC-30949-MS
... approach to all hardware and mathematics. The advanced algorithms used in the InspeCT TM technology enables a novel technique for image reconstruction; allowing for cleaner images than are possible using traditional CT whilst using less data and hence smaller radioactive sources. In addition, this paper...
Proceedings Papers

Paper presented at the Offshore Technology Conference, August 16–19, 2021
Paper Number: OTC-31061-MS
... Once all input data has been properly conditioned, the workflow commences by extracting traces from each angle stack to serve as pseudo-logs at the well locations. This allows for a quick turnaround during the optimization of parameters and analysis window. Next, the machine learning algorithm...

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