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Keywords: dataset
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223381-MS
... participants from around the globe. The objective was to design an accurate, automated system for predicting lithology using real-world well log data. The dataset included measurements from twenty wells with twelve interpreted facies and ten additional wells for evaluation. The complexity of the data...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223399-MS
... with data from "conventional" logging. The neural network is designed with appropriate parameters (number of layers, neurons, learning rate, etc.) and then trained on datasets of micro imaged wells. The population of the earth model with fracture characteristics is controlled by the complex trend which...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223383-MS
.... Aggregating information from various sources such as incident reports, work permits, and safeguards field verification is essential for constructing a holistic view of safety outcomes. By combining these datasets, we gain a deeper understanding of the factors influencing safety and risk management...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217566-MS
... geologist asia government inversion machine learning continuous wavelet transform assessment dataset gamma ray value azerbaijan government estimation resolution petroleum engineer functional convolutional neural network accuracy trajectory information Introduction and Problem Statement...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217527-MS
... to maximize wellbore production using hydrocarbon saturation volume. The framework delivers an optimal wellbore trajectory performing real-time formation evaluation, guiding the drill bit through highly saturated pay zones. The proposed framework was tested on a 2D synthetic dataset using various...
Proceedings Papers
E. Yudin, A. Andrianova, D. Isaev, O. Kobzar, G. Mosyagin, M. Gudilov, M. Polinov, A. Shestakov, T. Ganeev
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217526-MS
... asia government artificial intelligence information adaptation sensor example dataset deep learning israel government monitor well performance neuron valve restore well rate dynamic petroleum engineer convergence society Introduction The development of machine learning approaches...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, November 15–17, 2022
Paper Number: SPE-212088-MS
..., the mechanical strength of the rock formation also plays a great role, and well log data is used to assume this value for each point. That is why these features in the training datasets have high vulnerability. Comparing various techniques, Random Forest gives us the most optimal model in terms of accuracy...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, October 5–7, 2021
Paper Number: SPE-207000-MS
... data dataset lithology elkatatny artificial neural network petroleum engineer svm model slowness mahmoud well logging & abdulraheem prediction aape correlation coefficient Introduction Reservoir characterization implies the integration of various types of inputs acquired from...
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Options for the article titled, Real-Time Prediction for Sonic Slowness Logs from Surface Drilling Data Using Machine Learning Techniques
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202507-MS
.... In situations where a reliable numerical model or reservoir simulator is not accessible, machine learning methods can offer an alternative approach for forecasting the performance in a practical manner. When the dataset used for training is generated from numerical simulation runs, machine learning model serves...
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Options for the article titled, Comparison of Machine Learning Algorithms for the Development of a Forecasting Tool for Cyclic Gas Injection in Hydraulically-Fractured Wells
- Download the English language PDF for the article titled, Comparison of Machine Learning Algorithms for the Development of a Forecasting Tool for Cyclic Gas Injection in Hydraulically-Fractured Wells
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference & Exhibition, November 4–6, 2015
Paper Number: SPE-177350-MS
... to 600m. A preliminary regional study, based on a 3D seismic dataset, revealed large scale geological features, including a giant mud volcano, regional scale Mass Transport Complexes (MTC) and a large slope failure scar at seabed. Nevertheless, the resolution of the dataset was of insufficient quality...