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Keywords: production data
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722861-MS
... individual flow regime flow regime log-log plot onepetro production data unconventional reservoir URTeC: 3722861 New Model Improves Secondary Phase Production Forecasts Himanshu Shekhar Jha*1, W. John Lee2, 1. The Berg-Hughes Center for Petroleum and Sedimentary Systems at Texas A&M University, 2...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723724-MS
... significance of the initial production period by showing how model matches to initial production data are used to seed models for EUR estimation. Linear flow analysis is one of the most common methods for analyzing well performance in unconventional reservoirs. One of the key insights presented in this paper...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3724391-MS
..., the calibration of the numerical RTA model for multi-phase wells requires production data after reaching dew or bubble point. To evaluate the performance of the wells in early production time and in absence of production data below saturation pressure, a diagnostic term is presented that combines the fractional...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718045-MS
... production and PVT data. We present complete details of its derivation along with its application to both synthetically generated and actual field data sets. We also compare results of our analysis to results obtained from interpreting multiphase production data using single-phase techniques. We show...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5030-MS
... to significantly increase the number of analog wells used to construct the type well, increasing the statistical significance of the final product. We present our proposed workflow and illustrate its application to a 130-well data set from the DJ basin. In our workflow, the analyst first matches production data...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5222-MS
... in the presence of outliers. In essence, we apply a weighted least-squares (WLS) approach which, with simple mathematical manipulation is shown to be equivalent to LAV minimization. The proper identification of the BDF or PSSF exhibited by the production data is crucial for accurately estimating OGIP, EUR, and RF...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5211-MS
... a hindcast (backtesting) case study for a set of 197 Barnett shale gas wells. We compared the impact of not updating the estimates (base case) with updating estimates using new production data and externally adjusting them using calibration data. At 12 months of production data, the externally adjusted...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5418-MS
... forecasting deep learning dca model proceedings urtec 5418 production data time series 1 URTeC: 5418 Application of Bayesian Optimized Deep Bi-LSTM Neural Networks for Production Forecasting of Gas Wells in Unconventional Shale Gas Reservoirs Y. Kocoglu*, S. Gorell, and P. McElroy, Texas Tech...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5443-MS
..., fracture communication that persists during production complicates rate-transient analysis (RTA) because models/methods for RTA have mostly been applied to single-well production data. Availability of RTA methods specifically developed for communicating wells can reduce errors associated with hydraulic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5540-MS
... energy economics complex reservoir unconventional resource economics structural geology liquid content reservoir characterization upstream oil & gas dod 1573 shale gas downstream oil & gas wet 2672 dod 5924 mechanical strength geneseo production data thermal maturity...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5644-MS
... and microseismic events. The ML inverse model takes the form of an artificial neural net that can predict site parameters based on short term production data. We demonstrate the workflow using data from the DOE-sponsored Marcellus Shale Energy and Environment Laboratory (MSEEL-1). Introduction The Science-informed...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5687-MS
... machine learning artificial intelligence production forecasting deep learning coordinate information us government complex reservoir forecast model production data historical production data multiple flow regime fluid property transfer learning upstream oil & gas prediction...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5696-MS
... in porous media complex reservoir reserves evaluation rate decline relation dca parameter detection workflow unconventional resource technology conference spe annual technical conference production data algorithm estimation theoretical distribution onset bdf application resource play...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5651-MS
... upstream oil & gas unconventional resource economics correlation urtec operation wamsutter field structural geology information production data energy economics complex reservoir colorado school wyoming lewis shale buffer flooding surface well development production analysis...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3108-MS
... reservoir simulation ffnn model prediction accuracy regression reserves evaluation training data predictor generalized additive model production data ann model wigwe test data data analysis unconventional resource technology conference gwr model urtec 3108 spatial method URTeC: 3108...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2994-MS
... 2994 unconventional resource economics production data efficiency completion property stimulation efficiency reservoir model productivity well ow-1 permeability drillstem testing oil shale history matching drillstem/well testing optimization porosity matrix porosity srv permeability...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3104-MS
... a full-field development plan. Even though satisfactory history matching for completion and production data can be achieved for wells at one location, it is difficult to directly apply the results to other areas in the same region. This is especially true in complex thick pay zone reservoirs...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2770-MS
... executed fracturing designs. Users also leverage the economic model and input individual variable costs to get an overall completion cost per 12-month BOE or corresponding NPV. Validating the model with an operator’s completion and production data in the Permian helps to provide the feedback needed...

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