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Keywords: prediction
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206122-MS
...Abstract Abstract Predicting accurate erosion rate due to sand particles in oil and gas production is important for maintaining safe and reliable operations while maximizing output efficiency. Computational Fluid Dynamic (CFD) is a powerful tool for erosion prediction as it provides detailed...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206089-MS
... The core images are first preprocessed and analyzed using computer vision (CV) techniques, to prepare several common types of image features that can be used to predict target reservoir properties. Feature extraction is a core component of CV, both in traditional as well as the more recent deep...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206081-MS
... the effects of fluid properties and flowing system conditions on the droplet formation process and the droplet sizes. Hinze (1955) developed a fundamental model to predict the maximum stable droplet size under turbulent flow conditions. Assuming a simple isotropic homogeneous turbulent regime, he...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206129-MS
... imposed risk category of any well. Comparison analysis for the deployed models was performed to infer the best predictive model that can be relied on. 11 models include both supervised and ensemble learning algorithms such as random forest, support vector machine (SVM), decision tree and scalable boosting...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206152-MS
...Abstract Abstract This study presents a novel metaheuristic algorithm that uses a physics-based model for multi-fractured horizontal wells (MFHW) to accurately predict the estimated ultimate recovery (EUR) for unconventional reservoirs. The metaheuristic algorithm creates a sizeable number...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206146-MS
... adjustment of polymer viscosity was necessary to match the field performance. Figure 11 Actual FM WC (blue dots) as compared to WC predictions using degraded curves for different FDPs One of the major deficiencies of the model was that the polymer breakthrough at field level was much lower than...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205871-MS
... neural network producing exhibition artificial intelligence well connectivity liquid production upstream oil & gas information spe annual technical conference case iii prediction bottomhole pressure dataset machine learning well connectivity analysis communication...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-208628-STU
... Index Prediction The Machine Learning workflow to predict the brittleness index is described in the Figure 3 . The Jupyter Notebook, a Python Integrated Development Environment (IDE) was used to perform the whole analysis. Figure 3 The Machine Learning framework In the first step...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205841-MS
... seismic features while building the seismic-well mapping relationship and thus helps significantly reduce the risk of overfitting due to limited wells as well as improve the quality of machine prediction ( Di et al., 2020 ). In addition to seismic amplitude, the workflow is capable of incorporating more...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205842-MS
... and traditional PVT data from selected shale assets. A machine learning approach was applied to the database to predict gas to oil ratio (GOR) in shale reservoirs. To enhance regional correlations and obtain a more accurate GOR prediction, we developed a machine learning model focused on Canada shale plays data...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205903-MS
... the framework of the third approach mentioned above, Shi et al. (2021) proposed a combined long short-term memory (LSTM) and multilayer perceptron (MLP) neural network to predict the geothermal well production by considering constraint conditions such as injection mass flow rates, reservoir temperature...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205944-MS
... ( Sherstinsky 2020 , Hochreiter and Schmidhuber 1997 , Chung et al. 2015 ). Broadly speaking, the RNN predicts the output at a time step as a function of the input at the current time step as well as the information passed on from the previous time step. Regardless of architectural variations, the RNN...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206201-MS
... completion installation and operations orientation prediction clamp torsion twist angle rigidity integrity mechanical stability petroleum engineer cable casing twist insight wellbore INTRODUCTION ABSTRACT ABSTRACT During perforating operations, identifying the orientation of fiber cable...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206208-MS
... of the WFT pumping and sampling operation. Mobility, as compared to permeability, reflects the dynamic supply capacity of the formation. A rapid and good mobility prediction based on petrophysical logging can not only directly provide valid formation productivity but can also evaluate the feasibility...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206291-MS
... Downhole fluid analysis using optical sensors traditionally relies on a calibration involving two separate steps, each with different artificial neural network (ANN) transformations. This methodology, and its corresponding fluid answer product prediction performance, has been extensively reviewed...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205985-MS
...’ may be highly subjective, thus, prone to inconsistencies. In our work, we propose to automate the well correlation workflow by using a Soft- Attention Convolutional Neural Network to predict well markers. The machine learning algorithm is supervised by examples of manual marker picks...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205997-MS
... artificial intelligence psia machine learning regressor predictor prediction neural network lightgbm algorithm coefficient artificial proxy feature dew point pressure reservoir temperature relative error dataset upstream oil & gas correlation elsharkawy pseudocritical...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205950-MS
...Abstract Abstract Log interpretation is the task of analyzing and processing well logs to generate the subsurface properties around wells. A direct application of machine learning (ML) to this task is to train an ML model for predicting properties in target wells given well logs (data...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205988-MS
...Abstract Abstract This study developed an analytical tool for the detection and characterization of scale buildup from well data using deep learning methods. The developed method allows for a sensitive detection of the initiation of scaling as well as an accurate prediction of the magnitude...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205954-MS
...Abstract Abstract Seismic data is a main source of information for lateral forecast of lithofacies. No one can deny that seismic data is a useful method to determinate structure of prospects. However, we have to accept to urgent need to implement steps that will make possible to predict...

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