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Keywords: prediction
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215253-MS
... network prediction. Under the framework of theoretical guidance, researchers further proposed TgDLF ( Chen and Zhang, 2021 ) and TgLSTM ( Luo et al., 2021 ) models to solve the fusion problem of knowledge and data in practical scenarios. Shokouhi et al. (2021) propose a physics-based deep learning...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215220-MS
... While many predictive ML modeling studies have been conducted on optimizing completion and well designs, productive zone studies for identifying "sweet spots" were limited to enhanced performance of well production in the Montney formation. Mohaghegh et. al. (2017) included "natural" reservoir...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215292-MS
... conditions. However, if groups are divided based on such attributes, less distinct characteristics among the groups may be obtained. In addition, the inclusion of factors unrelated to productivity in a prediction model can adversely affect performance. To address these challenges, a comprehensive approach...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205683-MS
... control schemes. Therefore, it is very important to find a simple and effective reservoir granularity prediction method. The existing prediction models by artificial intelligence method use single point logging data as eigenvalues to predict d50 and UC without considering the longitudinal continuity...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205677-MS
... Abstract Pipe-sticking during drilling operations causes severe difficulties, including economic losses and safety issues. Therefore, stuck-pipe predictions are an important tool to preempt this problem and avoid the aforementioned troubles. In this study, we have developed a prediction...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205710-MS
... Abstract While drilling into fracture zones, lost circulation frequently occurs, resulting in a waste of productive operation severe cases, the well's destruction. However, due to complex development mechanisms and high heterogeneity, identifying and predicting fractures is extremely difficult...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205689-MS
... modelling, drilling parameters optimization, text mining of drilling reports and well production prediction, etc. where deep learning, traditional machine learning, incremental learning and natural language processing methods, etc. are used. Besides detailed discussions in the paper, conclusions...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205700-MS
...-turbulence flow coefficients that are obtained from short-time multi rate test is important to predict the perforation efficiency. The empirical relation will be developed using machine learning. A simple gas reservoir model is built and then run with variations of reservoir permeability, perforation...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205782-MS
... The frequently asked question is? which correlations or method is the most predictable become a central of conducting several comparative studies ( Kanu, 2014 ) and ( Odegov, 2015 ) evaluating the performance of commonly known correlation and set a general guideline to control the selection...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205735-MS
... and the well IPRs’ Liquid PI, reservoir pressure, and holdup factor are predicted from ML with more than 90% accuracy. As result delivery, the surveillance dashboard will be populated daily with the network production data, flowing parameters, and operation recommendations. It is estimated more than 90% time...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205736-MS
... Our research study is designed to develop an intelligent and automatic tool based on ML to evaluate risk of WI impairment and predict failures of barriers. The objectives of this paper are: To overview the digital transformation wave sweeping O&G industry. To summarize and compile...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205720-MS
... deep learning complex reservoir well logging structural geology directional drilling shale oil drillstem/well testing history matching fluid dynamics equation of state prediction exhibition usa unconventional reservoir algorithm neural network drilling operation oil shale technology...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205571-MS
... Abstract The objective of the study is to build a robust Recurrent Neural Network system using Long-Short-Term-Memory (LSTM) to predict future vibrations during drilling operations. This provides a reliable solution to the complex problem of modeling several forms of vibrations encountered...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205602-MS
... on the petrophysicist's experience. Utilizing the flourishing Artificial Intelligence (AI)/Machine Learning (ML) is a way to build an automating process with minimal human intervention, improving consistency and efficiency of well log prediction and interpretation. Nowadays, the argument is whether AI-ML should base...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205617-MS
... information from training wells to other wells ( Jain, et al., 2019 ). The workflow is divided into two (2) main steps: training and prediction. Key wells which best represent the formation in the field are used to train the model. This approach automatically generates the number of cluster (class) using...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205638-MS
...Model Development Once the dataset is cleaned and normalized, the next step is to develop the predictive ML models. In this work, we develop the predictive models for a specific formation, i.e., an abrasive formation that is expensive to drill due to low ROP, short footage drilling, and cause...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205802-MS
... reduce the need for extensive core description processes. well logging core description reservoir characterization upstream oil & gas machine learning artificial intelligence log analysis classification variance prediction rf model dataset size distribution grain size class grain...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205642-MS
... outperforms on model testing and prediction accuracy. A database was constructed for a heterogeneous reservoir. Four widely used boosting algorithms were used on the database to predict the design only from the output of a short injection/falloff test. Feature importance analysis was done on eight output...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202209-MS
... condensate banking co2 injection low bhfp local grid refinement steam-assisted gravity drainage supercritical condition production improvement thermal method condensate production society of petroleum engineers upstream oil & gas prediction supercritical injection reservoir model bhfp...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202297-MS
...% in claystone, 92% in sandstone and 89% in marl which makes this model the most appropriate classifier to be used among the three. The preliminary results, through the comparison among the three classifiers not only provides the most intuitive model for subsurface lithology prediction using real-time drilling...

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