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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208661-MS
... of practical modeling, we emphasize the need of accounting real operational conditions, particularly with high amount of free gas at pump intake. Introduction machine learning production control production monitoring production logging artificial intelligence vibration sensor esp operation flow...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208642-MS
.... Artificial neural network (ANN) is a tool of artificial intelligence (AI) and it was employed in this study to build the porosity prediction model based on the drilling parameters as the weight on bit (WOB), drill string rotating-speed (RS), drilling torque (T), stand-pipe pressure (SPP), mud pumping rate (Q...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208662-MS
... reservoir simulation artificial intelligence upstream oil & gas rock compressibility -region application corey oil corey water owc-eqlnum reservoir simulation model satnum reservoir engineering assisted history matching wd-x Introduction The concept of reservoir engineering assisted...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208647-MS
... electrical submersible pump algorithm operation failure prediction index artificial intelligence pre-failure state rrl algorithm application petroleum engineer nybl Introduction ADNOC's digital transformation strategy, which includes investment in science and technology, and embedding...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208663-MS
.... Artificial intelligence models Artificial Neural Networks (ANN) Abstract Abstract The discrimination of shale vs. non-shale layers significantly influences the quality of reservoir geological model. In this study, a novel approach was implemented to enhance the model by creating Pseudo Corrected...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208634-MS
... itself. Domain knowledge will make the project faster, cheaper, and more likely to provide a practical result. Abstract Abstract A practical data science, machine learning, or artificial intelligence project benefits from various organizational and managerial prerequisites. The effective...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208638-MS
... artificial intelligence successful system configuration artificial intelligence adoption increment delta rpm wob guideline drilling operation diffp drilling optimization driller petroleum engineer step size Introduction The process of drilling optimization, in the context of this paper...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208667-MS
... machine learning correlation decision tree learning gas viscosity artificial intelligence input parameter dt model gas viscosity prediction prediction testing step algorithm upstream oil & gas viscosity functional form natural gas gas density dataset testing process...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208649-MS
... decisions can be taken immediately to prolong the pump life. ESP Failure Analysis: ESP failure analysis is a manual-intensive and tedious activity involving dismantle, inspection, and failure analysis (DIFA) for each failure. An innovative artificial intelligence workflow using an ensemble of ML...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208658-MS
... and often leading to a prioritization between time and precision for the teams involved in the process. This paper provides a success story of how artificial intelligence (AI) is used to dynamically and effeciently optimize and predict production of gas wells. In particular, we focus on the application...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208648-MS
... purposes has been demonstrated via a series of simulation-based cases. Amongst the used algorithms the deep learning methods provided the most accurate results combined with reasonable time for model training. reservoir surveillance deep learning machine learning artificial intelligence upstream...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208657-MS
... models. machine learning reservoir simulation complex reservoir condensate reservoir nam con son basin accuracy application well ht-c transmissibility multiplier need lgr upstream oil & gas dynamic model decision tree classifier artificial intelligence history matching prediction...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208875-MS
.... Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of SPE copyright. References References Anifowose , F. , Artificial Intelligence Explained for Non-Computer Scientists...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208665-MS
... this would help us obtain the best possible image quality for accurate evaluation of rock samples from CT images without spending additional hours on CT scanning. reservoir characterization neural network artificial intelligence machine learning health & medicine flow in porous media fluid...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208653-MS
... The fourth industrial revolution is characterized by the fusion of advances in artificial intelligence (AI), robotics, the Internet of Things (IoT), quantum computing, and a lot other technology. ( Schwab, 2016 ). This data driven revolution is the force behind many indispensable contemporary...
Proceedings Papers

Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208646-MS
...ABSTRACT ABSTRACT This project provides a new realistic solution for the accuracy of down hole torque measurements using the integration of the Artificial intelligence (AI) technology with the downhole challenges being faced while drilling deep and high deviated wells. The new estimates...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187471-MS
... and portfolio management Upstream Oil & Gas astutik application value chain fluid description eos Artificial Intelligence PVT measurement Simulation Implementation conversion diluent reservoir simulation Whitson simulator integration reservoir model reservoir processing facility...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187467-MS
... optimization solution is also discussed. The importance of the usability, user training and solution maintenance is highlighted. constraint Artificial Intelligence platform Upstream Oil & Gas operational constraint optimization problem multi-field asset optimization gas compressor production...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187472-MS
... drilling Artificial Intelligence intelligent method accident record formation pressure profile drilling risk probability profile risk interval probability equation Upstream Oil & Gas drilling risk credibility dangerous area drilling measurement LWD drilling fluid density formation...
Proceedings Papers

Paper presented at the SPE Intelligent Oil and Gas Symposium, May 9–10, 2017
Paper Number: SPE-187468-MS
... in the process in time is also important by means of adding another dimension on the relative significance of parameters in the process, thereby shedding light on future decisions. machine learning Upstream Oil & Gas Artificial Intelligence areal conformance information real time system...

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