Zobrazeno 1 - 10
of 13
pro vyhledávání: '"H. Scott Hamlin"'
Publikováno v:
SPE Reservoir Evaluation & Engineering. 24:262-274
Summary Machine learning provides powerful methods for inferential and predictive modeling of complicated multivariate relationships to support decision-making for spatial problems such as optimization of unconventional reservoir development. Current
Publikováno v:
AAPG Bulletin. 104:1593-1624
Grain assemblages in the organic-rich Cline shale in the Midland Basin are dominated by components of extrabasinal derivation (11.4 to 98.5 vol. %; average volume: 82.6%). Major extrabasinal components include K-rich clay minerals, detrital quartz, a
Publikováno v:
Interpretation. 7:T607-T624
An integrated workflow to estimate the hydrocarbon-in-place and recovery factor is applied in the Bakken-Three Forks petroleum system. Evaluating factors that control the generation and storage of hydrocarbon, such as the total organic carbon, maturi
Publikováno v:
Proceedings of the 6th Unconventional Resources Technology Conference.
Publikováno v:
Proceedings of the 5th Unconventional Resources Technology Conference.
Autor:
H. Scott Hamlin, Hanyue Zheng
Publikováno v:
Proceedings of the 4th Unconventional Resources Technology Conference.
Publikováno v:
AAPG Bulletin. 95:1643-1666
Autor:
H. Scott Hamlin
Publikováno v:
AAPG Bulletin. 93:573-594
The Ozona sandstone is a record of Permian synorogenic sedimentation in a foreland basin. The Ozona comprises terrigenous clastic slope and basin systems overlain by mixed clastic-carbonate shelf-ramp systems. Ozona sandstones form low-permeability g
Publikováno v:
AAPG Bulletin. 97:529-529
The Upper Jurassic Haynesville Shale is currently regarded as one of the most prolific emerging shale-gas plays in the continental United States. It has estimated play resources of several hundred trillion cubic feet and per-well reserves estimated a
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