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1-20 of 98
Keywords: prediction
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Proceedings Papers
Abhishek Gupta, Vinnavadi C. Babu Sivakumar, Gaurav Dwivedi, Kashish Bhardwaj, Rehan Ahmed, Yusoff Mahmud, Ariff Bin Mohd. Abdul Wahid, Addy Yusop, Ariff Ali
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34645-MS
... existing gaps in sand management, promising a paradigm shift in the Integrated Sand Management concept. A comprehensive risk assessment, covering erosion, corrosion, handling, and deposition, is proposed. The integration of sensors to enhance predictability is explored, providing a holistic understanding...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34653-MS
... to assess CO2 trapping efficiency. Additionally, Artificial Neural Network (ANN), a deep learning tool was also developed and tested. The developed ML models demonstrated promising results for predicting trapping indices in saline aquifers, with correlation factor R 2 > 0.9. Moreover, partial dependance...
Proceedings Papers
Khairol Hazman A Karim, Raizil Aisyaizni Juzilman, Nur Asiah Maryam Abdullah, Siti Hawa Hambali, M Nazri Ahmad, M Nazmi M Ali Napiah
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34675-MS
.... The implementation of this approach includes the development of a web-based predictive analytic algorithm and a corresponding dashboard. These tools are designed to predict the formation and behaviors of freespan along the pipeline for specific years by combining machine learning capabilities and historical data...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34759-MS
... the erosion state of choke valves with Cv. However, we also address the limitations of this method and explain the goal of our study, which is to overcome these limitations. Abstract The study discusses a method for monitoring the internal condition of choke valves to predict sand erosion using flow...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34764-MS
.... One of the most intriguing topics, among others, is the prediction (foreseen) of lost circulation at the planning stage. This concept remains in the developmental phase and has not yet been widely adopted by the industry. The premise is that lost circulation events do not occur randomly and should...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34844-MS
... during the first few years of operation, which are prohibitively expensive to repair or replace. Therefore, it is essential to develop efficient models that can provide accurate estimations of the bottomhole pressure. In this paper, we proposed a method for predicting downhole pressure by integrating...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34778-MS
... of the model's predictions. Specificity assesses the model's ability to correctly identify non-target items within the negative class. Precision gauges the model's precision in correctly identifying positive instances. The equation for accuracy, specificity and precision as follows: The input data underwent...
Proceedings Papers
Yongde Gao, Ming Chen, Peng Liu, Gongrui Yan, Dianqiang Sun, Jinbo Wu, Lin Liang, Yansong Huang, Yongjie Huang, Maoyou Sun
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34767-MS
... From the above testing use cases results, we can conclude that this digital machine learning pore pressure prediction model is proved accurate and reliable as compared to actual downhole pressure test results and engineer’ manual interpretation results. One more significant advantage...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34782-MS
... in this paper. geologist well logging learning module reservoir characterization geology log analysis prediction petronas carigali sdn bhd artificial intelligence world coreai dataset pioneering machine learning platform algorithm artificial intelligence machine learning ermai...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34819-MS
... placement in deepwater carbonate reservoirs. SSA-XGBoost model scored 0.99 in the training set decision coefficient, 0.96 in the test set decision coefficient, and 0.83 in the verification set decision coefficient, which has higher prediction accuracy compared with other machine learning algorithms...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34837-MS
... with the industry and improve the reliability of these ageing assets. geologist reservoir characterization topsides fluid dynamics reservoir geomechanics loading geology geological subdiscipline subsidence iso 19902 reliability offshore technology conference prediction load jip simulation...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34829-MS
... Abstract Understanding the thermo-physical properties of CO 2 mixtures and predicting them in an accurate and reliable fashion are essential to enable transport of CO 2 via shipping. This transportation mode could have very different operating pressure and temperature conditions to the ones...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34776-MS
... storage artificial intelligence geoscience australia social responsibility sustainable development workflow climate change geologist subsurface storage geological storage saline aquifer rcsi machine learning offshore technology conference prediction driven approach estimate potential co2...
Proceedings Papers
Qurratuaini Muhamad Nazori, M Rafiq Bin Hamdan, Murni Shaharom, Zuriyaty Yusoff, Farahnajwa Amirrudin, Wan Mahsuri Wan Hashim, Astriyana Anuar, Zalina Ali
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34843-MS
... From this assessment, it was recommended to use GERG-2008 EoS to represent CO 2 fluid thermodynamic and physical properties in subsequent process simulation analysis as GERG EoS showcase the most accurate prediction of CO 2 thermophysical properties compared to experimental data. However, GERG...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34872-MS
... simulating downhole conditions to achieve the required placement times (i.e. thickening time) for the slurry to remain in a liquid state during pumping. This study presents an artificial intelligence model developed to predict the cement slurries thickening time based on historical experimental data, along...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34897-MS
... exploration and wellbore analysis, machine learning algorithms can play a pivotal role in predicting specific parameters like Cement Bond Index (CBI). To make these predictions, algorithms require a comprehensive set of input features, each contributing unique information about the subsurface conditions...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34894-MS
... Abstract Accurate prediction of wellbore trajectory is crucial for precise directional drilling, yet it remains challenging due to the complex underground conditions and the multitude of highly nonlinear factors influencing trajectory variations. Current mechanical analysis methods...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34930-MS
... causes of stuck pipe. This study proposes a novel machine learning approach that incorporates physical knowledge, explaining universal facts, to overcome the aforementioned challenges. This study creates a prediction model that focuses on the hook load to predict occurrences of stuck pipes. To create...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34923-MS
..., the fracture development law is complex, and the reservoir heterogeneity is strong. Because the deeply buried hill at sea is limited by the low resolution of seismic data, the traditional seismic prediction of fractured reservoirs is not good, and the prediction of superior reservoirs is difficult. It is well...
Proceedings Papers
Publisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-35008-MS
... Abstract In order to safely access deep petroleum resources, pore pressure studies are an essential part of well design engineering and economics considerations. Predicting pore pressure may become problematic in deeper reservoirs because to extra geological processes that encourage secondary...
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