Scaling Improves Type Well Construction

von Lee, W. John
Veröffentlicht in SPE/AAPG/SEG Unconventional Resources Technology Conference (2022 : Houston, Tex.) SPE/AAPG/SEG Unconventional Resources Technology Conference (URTeC 2022) ; Volume 4 of 5 (2022)

Statistical and Machine Learning Methods Help Us Identify Analogous Wells for Enhanced Type Well Construction

von Jha, Himanshu Shekhar
Veröffentlicht in SPE/AAPG/SEG Unconventional Resources Technology Conference (2022 : Houston, Tex.) SPE/AAPG/SEG Unconventional Resources Technology Conference (URTeC 2022) ; Volume 4 of 5 (2022)

New Model Improves Secondary Phase Production Forecasts

von Jha, Himanshu Shekhar
Veröffentlicht in SPE/AAPG/SEG Unconventional Resources Technology Conference (2022 : Houston, Tex.) SPE/AAPG/SEG Unconventional Resources Technology Conference (URTeC 2022) ; Volume 4 of 5 (2022)

The World of Robert Bateman

Veröffentlicht 1985

APPLICATION OF MULTIPLE DIAGNOSTIC PLOTS TO IDENTIFY END OF LINEAR FLOW IN UNCONVENTIONAL RESERVOIRS

von Pratikno, Helmi
Veröffentlicht in SPE Annual Technical Conference and Exhibition (2021 : Dubai, Stadt; Online) SPE Annual Technical Conference and Exhibition 2021 ; Volume 10 of 10 (2021)

Pressure transient testing

von Lee, W. John
Veröffentlicht 2003

GAUSSIAN QUADRATURE GQ USED TO ACCURATELY APPROXIMATE THE RELATIVE WEIGHTS OF RESERVES, CONTINGENT RESOURCES, AND PROSPECTIVE RESOURCES THROUGH A CUMULATIVE DISTRIBUTION FUNCTION

von Moridis, Nefeli
Veröffentlicht in SPE Annual Technical Conference and Exhibition (2021 : Dubai, Stadt; Online) SPE Annual Technical Conference and Exhibition 2021 ; Volume 6 of 10 (2021)

Tracking Procedures for Reserves and Resources Other than Reserves ROTR for Internal Reporting Process

von Moridis, Nefeli
Veröffentlicht in SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference (2019 : Brisbane) SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference 2019 ; Volume 1 of 2 (2022)

SPE 167241: Assessment of Eagle Ford Shale Oil and Gas Resources

von Gong, Xinglai
Veröffentlicht in Unconventional becoming conventional ; Vol. 2 (2013)

Forecasting Well-To-Well Interference in the Permian Basin by Applying Neural Networks on Pre- Run Simulations

von Pradhan, Yogashri
Veröffentlicht in SPE/AAPG/SEG Unconventional Resources Technology Conference (2022 : Houston, Tex.) SPE/AAPG/SEG Unconventional Resources Technology Conference (URTeC 2022) ; Volume 5 of 5 (2022)

Special issue: recent developments in petroleum engineering : [... four papers presented at OMAE2007 and selected for this special issue ...]

Veröffentlicht 2008