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Keywords: neural network
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Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30097-MS
... prediction. Better R 2 and MSE combinations were evident giving values of 0.9434 and 0.03918 respectively where the input data consisted of both drilling parameters and bit image features. machine learning evolutionary algorithm neural network artificial intelligence data mining drilling...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30207-MS
... in the filter domain are selected by thresholding or manually which can result in a time-consuming process and also introduce error to what should be considered as noise energy. In this study, a model is developed using Deep Neural Network with AutoEncoder architecture to select the noise energy automatically...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30332-MS
... production control production forecasting machine learning artificial intelligence production monitoring neural network reservoir surveillance upstream oil & gas minimum point offshore technology conference dbscan operational change well surveillance prediction random forest...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30326-MS
... electrical power curve beam pumping neural network oil field condition diagnosis sample problem working condition edge computing valve leak The downhole pump dynamometer card can reflect the downhole working condition more clearly and intuitively than the surface. Due to the high cost...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30364-MS
... fourth paradigm shift involving data driven science, this study aims to use data mining and artificial intelligence to investigate the conceptual framework, development and feasibility of data-driven approach in Artificial Neural Network based Grid-block Surrogate Reservoir Model (GSRM) Smart Proxy...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30365-MS
... neural network model lifecycle management deployment application edge node operation offshore technology conference data transfer hierarchical learning technology conference federated learning scenario Machine learning has affected many heavy industries, including oil and gas. Existing...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30372-MS
.... The learning algorithm in Back Propagation Neural Network (BPNN) is based on gradient descent method with backward error propagation. Back propagation searches on the error by means of gradient descent method to minimize the error criterion. It is therefore likely to get stuck in a local minimum...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30184-MS
... dominant. Particularly, leveraging deep neural networks that are highly capable of representing complex relationship of features has shown promising results in various tasks and fields such as computer vision and language modeling. In this paper, we present a novel machine learning model for the ROP...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30218-MS
... % of the randomised dataset are used for training and validating the model while the remaining 30 % are used to test the performance of the model. The machine learning model consists of an artificial neural network model with one input layer, four hidden layers and one output layer. The training takes several minutes...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30196-MS
... reservoir characterization data mining neural network reservoir simulation prediction numerical model interaction society of petroleum engineers material property application drilling batarseh subsurface matter perforation laser-rock interaction upstream oil & gas thermal conductivity...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30246-MS
... is not always available or there may be delays in data transmission. In the absence of reliable and accurate data from a nearby wave buoy, the motions of a floating platform/vessel may be used to estimate the sea conditions. This paper presents a method in using Artificial Neural Network (ANN) models to map...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30268-MS
... pipeline corrosion neural network midstream oil & gas information prediction machine learning artificial intelligence upstream oil & gas petronas assessment flowline corrosion materials and corrosion riser corrosion inspection group technical solution integrity management...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, November 2–August 19, 2020
Paper Number: OTC-30212-MS
... is unqualified, the cementing strength of cement sheath is not up to the requirements, and the perforation operation is not successfully controlled. By analyzing the feasibility of BP (back propagation) artificial neural network used in offshore well gas invasion monitoring, and analyzing the accuracy of gas...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 20–23, 2018
Paper Number: OTC-28506-MS
... in many wells not having acquired these important logs. This project has implemented new technique of "Artificial Neural Network" to solve this problem. Using this method, synthetic logs are generated to obtain the values of missing sonic and density data. These data are then used in the existing sand...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 20–23, 2018
Paper Number: OTC-28221-MS
... that estimates the water saturation based on pre-stack seismic information by using artificial intelligence (AI) technologies, such as artificial neural network (ANN), adaptive neuro-fuzzy inference systems optimized by genetic algorithm (ANFIS-GA), as well as support vector machine (SVM). Therefore, the seismic...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 20–23, 2018
Paper Number: OTC-28397-MS
... Abstract A simplified framework is presented in which an existing artificial neural network (ANN) based tool for critical stress range prediction is used in order to rapidly assess the fatigue life of a steel catenary riser (SCR). The simplified approach considers the first-order motions...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 20–23, 2018
Paper Number: OTC-28407-MS
.... neural network defective area visual inspection visual assessment detection ground transportation machine learning dataset engineer assessment offshore technology conference rail transportation algorithm riser corrosion software pixel software tool materials and corrosion coating damage...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2016
Paper Number: OTC-26450-MS
... hydraulic fracture under water coning issue. The new approach uses numerical simulation and Artificial Neural Networks (ANN). Simulating the coning behavior is an expensive and time consuming technique. Therefore, there is a need for a readymade correlation which can help as a good quick estimate...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2016
Paper Number: OTC-26559-MS
... comes from a combination of parameters with different weight factors. A productivity error correlation is the output of the second part of this paper. The correlation is developed by non-linear regression on the results of the sensitivity runs as inputs, and the errors as the output. A neural network...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2016
Paper Number: OTC-26527-MS
... and dynamic characteristic changed by a failure and it might cause time delay to be stable and recover the vessel's position. This paper presents a neural network based adaptive control method that guarantees stable control performance even with mooring line failure. Neural network based adaptive control can...

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