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Keywords: prediction
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Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209969-MS
... Abstract The gas-liquid downward flow is the least studied flow condition, which is critically important in predicting the flow between two platforms in offshore systems and wells for CO 2 injection for CCSU applications. These processes require a reliable prediction of pressure drop and phase...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209959-MS
...-Term Memory (CNN-BiLSTM) on the bottom-hole pressure data collected from CO 2 leakage simulations. Results show that the CNN-BiLSTM model can successfully detect CO 2 leakage events by comparing the difference between the predicted (no leakage) and tested bottom-hole pressures. We further compare its...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209999-MS
... by heavier oil components, cleaning the perforations or liner slots is expected to improve flow and increase the production. However, historical data show that not all chemical treatment jobs yield the same level of success. The problem addressed in this paper is using a data-driven predictive modeling...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210008-MS
... Abstract It is essential to meet climate goals outlined in the Paris Agreement that the Oil and Gas industry reduces carbon emissions along with achieving production targets. The described body of work herein provided a machine learning (ML) framework to predict upcoming shutdown events which...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209970-MS
.... This is costly and time-consuming. Next to monitoring and reporting, accurate prediction of the wear and tear on the rubber seal is essential. Within technology partnership, a real-time monitoring and proactive advisory tools have successfully developed and implemented. First, a scalable data infrastructure has...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209990-MS
... as the proposed formulation but is somewhat more complicated apply. modeling & simulation equation of state viscosity oil sand upstream oil & gas bitumen fraction mixture liquid hydrocarbon mixture database mixing rule accuracy chem complex reservoir enhanced recovery prediction mole...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210061-MS
... Abstract Pipeline corrosion poses significant challenges and risks to the energy industry and its mitigation requires extensive and reliable predictive modeling. Corrosion models based on computational fluid dynamics (CFD) stands as a desirable candidate for its detailed physical characterization...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210031-MS
... anxieties, it is vital to calculate the reservoir pressures, verify the pressures with machine learning predictions, and use the verified pressures to build pressure trend profiles using geophysical log cross-sections. To fulfil the above-mentioned objectives, the methodology used in the process starts...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210279-MS
... challenging but shorter runs, where string rotation did not provide anticipated benefits with respect to hook load recovery and running efficiency in the lateral prior to installation of a floatation sub. After earlier runs were assessed relative to torque and drag (T&D) predictions, it was postulated...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210313-MS
... for the wellbore-scale stress analysis. Results indicate that despite their common use, the uniaxial models may return significantly erroneous predictions of the in-situ stress state in depleted reservoirs. In particular, the in-situ stress changes are found to strongly depend on the geological azimuth and radial...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210318-MS
... corrosion artificial intelligence frequency defect voltage transmitter inductance scenario simulation inspection flowline corrosion prediction sensor coil subsystem well integrity coil machine learning diameter coupling dimension defect depth defect location algorithm pixel accuracy...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210309-MS
... CO 2 sequestration project. Although simulation-based techniques such as history matching can be used for predicting the evolution of underground CO 2 saturation, the computational cost of the high-fidelity simulations can be prohibitive. Recent development in data-driven models can provide...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210119-MS
... decomposition figure 4 artificial intelligence heat extracted low grade enhanced geothermal system depleted well prediction forecast recompletion Introduction Thoram and Ehlig-Economides 2011 proposed repurposing Haynesville shale gas wells for marginal geothermal heat extraction once the gas...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210146-MS
... prediction keyword improved information retrieval decision tree learning information retrieval corpus confusion matrix supervised learning natural language classification misclassification well related document Introduction One of the greater challenges in oil and gas exploration...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210191-MS
... Abstract Rock physics transforms established on the well data play an important role in predicting seismic rock properties. However, a data-driven approach, such as machine learning, can also estimate the targeted outputs from the well data. This study aims at comparing the accuracy of rock...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210235-MS
... to offset wells. To calculate FBHP, production engineers use physics-based models and empirical correlations calibrated with actual physical measurements from offset wells. The objective of the paper is to develop a data driven approach for prediction of the FBHP with machine learning algorithms during post...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210281-MS
... immediate attention, an online prediction/monitoring tool that quickly adapts to operational changes is one important enabler, not only to optimize operations and address the huge Operating Expenses (OPEX), but also to address remote/unmanned operation's requirement especially for subsea operation...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205995-MS
... ( k x , k y ) in most geological and reservoir modeling. However, our work indicates that it is equally important to understand k z characteristics to better evaluate their influence on CO 2 EOR and storage performance prediction. We conducted this study on about 9,000 whole-core triaxial...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205970-MS
... Abstract Accurate prediction of gas critical rate is critical to the successful management of gas wells. This paper covers the prediction of gas critical rate and presents limitations of old models with gas condensate wells with water-cut reversal. Comparison of prediction methods or models...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-208627-STU
.... Faster and cheaper methods are important for real-time decision making and empirically developed correlations are used in the prediction of this property. This work is aimed at developing a more accurate prediction method than the more common methods. The prediction method used is based on a supervised...

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