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Keywords: prediction
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Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32203-MS
... intelligence reservoir section upstream oil & gas complex reservoir hole size flow rate optimization calibration sensitivity configuration requirement prediction pressure drop workflow trajectory ht risk rpm design optimization offshore technology conference Introduction...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32328-MS
... Abstract Building a geomechanical model for reservoir rocks is crucial for oil and gas operations. It is essential to solving multiple designs like wellbore stability for drilling operations, hydraulic fracturing, and sand production prediction for production operations. The best method...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32300-MS
... on the labelled data to identify best suitable prediction model. A state-of-the-art temporal fusion transformer model was selected for time series forecasting based on experiments. The real-time and historical data possess noisy signals and skewed distribution depending upon frequency of slug events. The deep...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32304-MS
... model was deployed to an internal web application in which users could get a quick estimation of FPSO topsides weight by providing three features: gas production, oil production and water depth. The 2D and 3D cross plots with historic data and predicted value are also provided in the web-app for better...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32315-MS
...-by-cycle manner, of the axial restraint by the rock berm-pipe-seabed system, allowing the tracking of the axial restraint of the combined system across the operational life. Features of the analytical tool include the prediction of soil volume compaction and downwards displacement of the pipe with cycles...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32428-MS
... of unknown duration between different drilling parameters, a properly designed time series analysis model may be able to capture their relationships and make reasonable predictions. Recurrent Neural Network with long short-term memory (RNN-LSTM) architecture is a deep learning algorithm capable of making...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32454-MS
... Abstract The work we describe here was motivated by the sizable operational difficulties and capital expenditure associated with liquid surging or "surge wave instabilities" frequently encountered in gas condensate fields in late-life production. Predicting and managing surge wave instabilities...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32447-MS
... been employed in recent years to improve the process of lithology prediction, enabling more accurate results at faster rates. Machine learning-based systems incorporate a wide range of indicators such as rock types, mineral composition, sedimentary structures and microfossils for efficient lithology...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32505-MS
... deviation survey. When performing predictions, typical real-time measurements such as downhole and well head pressure/temperature and choke position are utilized. The approach was tested on a well in a nearby field which had more frequent well tests and then extended to the considered field, which had very...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32529-MS
... concentration upstream oil & gas united states government climate change migration residence time geochemical data sediment co 2 offshore technology conference subsurface storage co2 reservoir seismic data prediction carbon pool carbon reduction sequestration vertical migration...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32527-MS
... models to predict the liquid holdup in gas-liquid stratified flow in pipes: a pure ML and a hybrid model. Their accuracies are benchmarked against an HD stratified flow model. The pure ML model uses a neural network (NN) to predict liquid holdup directly. The hybrid model involves a 1D steady-state...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32532-MS
... and materials plot show threshold value false positive neural network machine learning detection japan government drilling operation onepetro situ well prediction stuck risk trq model artificial intelligence incident drilling variable physics-based model detection method presented data...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31866-MS
...., 2020 ). GNSS data is very commonly collected on offshore facilities, as it is a standard inclusion in recommended practices ( API RP 2SK, 2005 ), but can be easily retrofit to existing facilities when this is not the case. Depending on the data available, models can be trained to predict the response...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31901-MS
... Trees, K-Means and Agglomerative Clustering. All the machine learning techniques used in this work made excellent predictions with accuracy greater than or equal to 90%. For the supervised learning, the decision tree gave the overall best results with an accuracy of 96% for air-influx cases and 98...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31955-MS
.... A predictive solution is developed where a scalable Machine Learning (ML) model predicts un-commanded shut-ins by analyzing historical and real-timefeed of sensor and simulation data. Deployed workflow can inform Control Room Operators hours or days before a potential un-commanded shut-inoccurs. A common...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31758-MS
... downhole gauges (PDHGs) within the first few years of operation. To overcome this challenge, innovative modeling solutions have been developed to enable accurate bottom-hole well pressures to be calculated. Both the physics-based model and machine learning model are developed to predict PDHG pressure...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31781-MS
... Abstract Pore pressure analysis can be imperative while drilling, especially in certain offshore environments where abnormal pore pressures can cause serious problems such as fluid influx, kicks, and blowouts. In order to avoid such events, the prediction in real-time, or preferably ahead...

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