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Keywords: PVT propertyClose
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205782-MS
... reservoir fluid study. In this case, satisfactory estimation for a preliminary analysis can often be made from empirical correlations based on data that are usually available. There are number of correlations which have been proposed for determining the PVT properties of reservoir fluids...
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 29–31, 2019
Paper Number: SPE-196453-MS
... reservoirs [ 16 ]. As an alternative approach, equations of state (EOS) can be used to predict the PVT properties. However, EOS are considered as computationally complex and require an extensive amount of data related to the composition of the reservoir fluids. Consequently, for a long time, researchers...
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 17–19, 2017
Paper Number: SPE-186256-MS
... improve the ability to correct PVT data on contaminated samples to obtain representative PVT properties. In order to test the experimental test method, base oil from an OBM was used to contaminate a gas condensate PVT sample with Condensate Gas Ratio (CGR) of 25 stb/MMscf. The data obtained from results...
Julian Y. Zuo, Dan Zhang, Francois Dubost, Chengli Dong, Oliver C. Mullins, Michael O'Keefe, Soraya S. Betancourt
Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 20–22, 2008
Paper Number: SPE-114702-MS
... with the laboratory-measured PVT (pressure/volume/temperature) properties for more than 1,000 fluids. The GOR, formation volume factor (FVF), and density predictions are in good agreement with the laboratory measurements. The established EOS model is then able to predict other PVT properties, and the results...
Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 8–10, 2002
Paper Number: SPE-77882-MS
... Abstract Artificial neural networks have been proposed for solving many problems in the oil and gas industry, including seismic pattern recognition, permeability and porosity prediction, identification of lithofacies types, prediction of PVT properties, estimating pressure drop in pipes...
Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 12–14, 1998
Paper Number: SPE-49961-MS
.... The proposed RBFNM is tested using PVT properties of other samples that has not been used during the training process. Accuracy of the proposed network model to predict PVT properties crude oils and gas systems is compared to the accuracy of numerous published PVT correlations. The physical behavior...
Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, April 14–16, 1997
Paper Number: SPE-38099-MS
... Abstract This study presents a universal neural network based models for the prediction of PVT properties of crude oil samples obtained from all over the world. The data, on which the network was trained, contains 5200 experimentally obtained PVT data sets of different crude oil and gas...
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