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Keywords: predictive model
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5059-MS
... Abstract Forecasting the future performance of unconventional wells is essential for reserves estimation, production optimization and to support decision-making. In this paper, we present a physics-guided deep learning predictive model that forecasts production profiles given an input...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3167-MS
... gas directional drilling reserves evaluation artificial intelligence estimates of resource in place upstream oil & gas lateral length energy economics production monitoring production forecasting reservoir simulation unconventional resource economics economic geology predictive model...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2465-MS
... Data analytics methods (data mining and artificial intelligence) have been used to model the production from unconventional plays. However, the performance of predictive models derived from these techniques has not been very successful. Their weak performance can be attributed to several...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-249-MS
... planning and design are discussed first. Then, we focus our attention on the first component of this system, which is the predictive unit and show how integrating petroleum engineering concepts can help build a robust predictive model. Figure 1. Three levels of artificial intelligence methods in our...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2845332-MS
... relationships, well performance must be normalized with engineering data in order to isolate the impact of geologic attributes on well performance. In this study, a well performance predictive model was created in the Utica from identified key play drivers that combined engineering, geologic, and geophysical...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2667781-MS
... simulation models. Once the geologic predictive models have been used to generate a detailed 3D geologic data set, then the hydraulic fracturing modelers need to use the information to determine how the hydraulic fractures will propagate from the horizontal wellbore and how natural fractures might...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2670157-MS
... Abstract This paper provides an overview of data analytics concepts and applications in the context of production data analysis for unconventional reservoirs. Topics discussed under key concepts in data analytics include: predictive modeling methods, handling missing variables, model...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2669988-MS
..., the Advanced Analytics team and the Production Operations team collaborated to statistically identify the key drivers behind ESP failures and determine if it was possible to accurately predict an ESP's lifespan using predictive model techniques. Continuous time series data from PI was summarized over ESP...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2433427-MS
... completion Artificial Intelligence Upstream Oil & Gas Mohaghegh application shale well data mining re-fracturing predictive model productivity Exhibition Reservoir Characteristic algorithm data-driven predictive model re-frac candidate selection re-frac design design parameter field...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2150079-MS
... visualization. The E&SS Analytics team used Statistical Analysis Software (SAS) Enterprise Guide for data integration and preliminary analysis and SAS Enterprise Miner for the creation of predictive models. In addition to the SAS software, we also implemented a modified version of SAS data analysis workflow, Q...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2167005-MS
... remains somewhat of a mystery to petroleum engineers and geoscientists. The objective of this paper is to provide some clarity to this issue, focusing on: (a) how to build robust predictive models, and (b) how to develop decision rules that help identify factors separating good wells from poor performers...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2173789-MS
...Summary Summary The hazard associated with fluid injection induced seismicity is primarily because of pore pressure increase which can lead to fault slippage and triggering of earthquakes. Simple predictive models of induced seismicity have been recently developed to relate potential maximum...

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