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Keywords: detection
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211842-MS
... on background-foreground segmentation, objects detection and classification, tracking, and behavioral analysis have covered a large portion of these investigations. Other than visible cameras, many sensor modalities have been investigated for surveillance systems, including thermal and infrared cameras, radar...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211205-MS
... main categories of ESD valves considered; i. Emergency Service (ESDV & EBDV), ii. Inventory Isolation, iii. Pipeline Sectioning/Isolation and iv. Process Service (Routing, Sequencing, etc.) air emission gas processing valve chemical spill midstream oil & gas spam filtering detection...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211847-MS
... when they tend to compromise on safety, is of huge value. While many attempts have been made in the literature in terms of Personnel Protective Equipment (PPE), there is no available solution that uses modern deep-learning based video analytics to comprehensively detect multiple type of HSE use-cases...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211838-MS
... inspection machine vision pipeline detection upstream oil & gas shell autonomous integrity recognition application workflow shell autonomous integrity recognition corrosion cloud insulation machine vision application Introduction Shell assets across the lines of business like refineries...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211007-MS
... data obtained from the autonomous 3D maneuvering around the flare stack is analyzed using a deep learning detection network for flame and smoke detection for performance monitoring. The results of the analysis provide conclusions about the overall system operation and structure condition. Related...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211093-MS
... One aspect is related to the human factor. With the increasing number of data generated by sensors and other activities, the responsible person gets easily overwhelmed by the well monitoring task. It is also challenging for the human eye to detect a slow pressure decrease or increase...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211130-MS
... reconciliation algorithm coupled with a stead state detection algorithm creates first the exact replica or digital twin of the process plant. An optimization algorithm then identifies the true gap to potential and provides the advisory targets. The application solution is scheduled to run every hour mapping...
Proceedings Papers
Ahmed Al-Jarro, Ali Alshehri, Ayman Amer, Abdulrahman Althobaiti, Hamad Saiari, Fatima Alsalman, Muntathir Albaqshi, Godine Chan, Anthony Kakpovbia, Edvardas Kairiukstis, Matthias Odisio, Weiwei Qian, Arjun Roy, Bilal Saad, Vladimir Shapiro
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211124-MS
... Abstract In this work, we present a novel Artificial Intelligence (AI) powered non-destructive testing (NDT) system for the detection of potential corrosion under insulation (CUI) inspections, code named DPCUI, developed by the Research and Development Center (R&DC) at Saudi Aramco...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211145-MS
... learning algorithm to detect anomalous sound amidst industrial noise, which in turn helps in the identification of the malfunctioning equipment on an offshore rig. The recent success of contrastive learning algorithms to detect novelty in visual representation has inspired our work. We hypothesise...
Proceedings Papers
Muhammad Zakwan Mohd Sahak, Maung Maung Myo Thant, Afidalina Tumian, Zalina Harun, Eugene Castillano, Su Be Chee, Kathryn Tan
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210979-MS
... and limits defined in the system. Process simulation model predicts other operating parameters not covered by the existing instrumentations, serving as virtual analysers, providing near real-time equipment and unit performance. Data driven model can be used for prediction, optimization and anomaly detection...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210951-MS
... Abstract The paper addresses the integrity monitoring of critical infrastructures as fluid filled transportation pipelines by developing a pilot full scale application of Advanced Leak Detection (ALD) monitoring system. The objective of the ALD system is to improve performances with respect...
Proceedings Papers
Nader Gerges, Gennady Makarychev, Luisa Ana Barillas, Alaa Maarouf, Midhun Madhavan, Sonal Gore, Lulwa Almarzooqi, Sylvain Wlodarczyk, Chakib Kada Kloucha, Hussein Mustapha
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211719-MS
... to interpreting logs or using core data. The purpose of this paper is to discuss machine-learning (ML) applications grouped in the solution to automatically QC and process core and log data for hundreds of wells. The goal was to detect poor data and outliers to apply corrections that mimic human-led...
Proceedings Papers
Ara Krikor, Shreepad Purushottam Khambete, Paulinus Abhyudaya Bimastianto, Michael Bradley Cotten, Lucian Toader, Fernando Jose Landaeta Rivas, Shahid Yakubbhai Duivala, Muhammad Idrees Mughal, Suhail Mohammed Al Ameri, Erwan Couzigou, Adel A/Rahman Al-Marzouqi, Wiliem Pausin, Laurent François Vallet, Bertrand Chevallier, Antoine Vaslin, Nadeem Hidayat Ullah, Ahsan Qadir, Hassan Walid Al Khufash, Raneef Mohamed Shareef, Muhammad Ashar Ul Islam
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211753-MS
... is to discuss the detailed implementation of machine learning to automate the detection and computation of the KPI's in real-time. The existing method for drilling performance monitoring requires extensive human data interpretation to calibrate the parameters required in this process. To overcome...
Proceedings Papers
Yazeed Alnumay, Ali J. Alrasheed, Hassane Trigui, Abdulwahab Halawani, Mohammed Alshiekh, Sahejad Patel
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211821-MS
... the model training process by utilizing synthetic images. This will present cost and time reduction as well as the ability to train models for features with sparse real data. dataset machine learning flange deep learning accuracy detection upstream oil & gas artificial intelligence...
Proceedings Papers
Nicolas Leseur, Alba Franco, Li Xin, Fan Yang, Olga Lokhanova, Mounir Belouahchia, Rashid Belmeskin, Zaynab Habibi, Hesham Shebl, Mohamed Tamimi
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211816-MS
... and data science work not only led to an increase in the mean intersection-of-union metric but also to the assurance that fundamental geological principles were honored. In practice, the algorithm ensured that petrographic object detection was constrained by biostatistical population criteria as well...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211689-MS
.... Extraction of hydrocarbon compounds in samples Soxhlet extraction Abstract The convenient, quick and accurate detection of hydrocarbon compounds in rocks and the establishment of the detection method of hydrocarbon compounds in rocks are of great significance for the study of hydrocarbon compounds...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211163-MS
... failure due to third party and geohazards. Data automation has significanly reduced data processing time and human error for anomalies detection and verification, this subsequently improve workforce productivity while reducing safety risks, operations and maintenance costs. neural network machine...
Proceedings Papers
Raul Aragones Ortiz, Maria Oliver Parera, Roger Malet Munte, Maria Teresa Marquez Garda, David Comellas Vogel
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211177-MS
... are tough to find in battery-powered IoT due to their battery lifetime limitations. upstream oil & gas battery internet of things artificial intelligence sustainability sustainable development vibration sensor climate change frequency leak detection operation steam leak monitoring...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211186-MS
... Abstract This work aims to present a methodology based on a proactive approach for the early detection of possible liquids carryover towards compressors installed in upstream process plants where the presence of heavy hydrocarbon inside gas stream is a recursive problem. Analyzing trough remote...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211178-MS
... Abstract One of prerequisite of any detection system is to get the requirement the risk analysis that estimates mainly the safety and environmental impacts of a loss of containment. From this prerequisite it is possible to consider a strategy for an early detection of a loss of containment...
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