Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Wardana Saputra"'
Publikováno v:
Energies, Vol 15, Iss 3, p 904 (2022)
We analyze nearly half a million vertical wells completed since the 1930s in the most prolific petroleum province in the U.S., the Permian Basin. We apply a physics-guided, data-driven forecasting approach to estimate the remaining hydrocarbons in th
Externí odkaz:
https://doaj.org/article/a745dbf60bc54e92b6ca6fe3fd644989
Publikováno v:
Energies, Vol 15, Iss 1, p 43 (2021)
We adopt a physics-guided, data-driven method to predict the most likely future production from the largest tight oil and gas deposits in North America, the Permian Basin. We first divide the existing 53,708 horizontal hydrofractured wells into 36 sp
Externí odkaz:
https://doaj.org/article/f5288ca88b3b4563a90c866465b4d2aa
Publikováno v:
Energies, Vol 13, Iss 9, p 2348 (2020)
We assemble a multiscale physical model of gas production in a mudrock (shale). We then tested our model on 45 horizontal gas wells in the Barnett with 12–15 years on production. When properly used, our model may enable shale companies to gain oper
Externí odkaz:
https://doaj.org/article/1732b13d05ab420295288a5ef3600b6d
Publikováno v:
Energies, Vol 13, Iss 8, p 2052 (2020)
A recent study by the Wall Street Journal reveals that the hydrofractured horizontal wells in shales have been producing less than the industrial forecasts with the empirical hyperbolic decline curve analysis (DCA). As an alternative to DCA, we intro
Externí odkaz:
https://doaj.org/article/f1073c3df809468598cdf948da1033df
Publikováno v:
Energies, Vol 12, Iss 19, p 3641 (2019)
We aim to replace the current industry-standard empirical forecasts of oil production from hydrofractured horizontal wells in shales with a statistically and physically robust, accurate and precise method of matching historic well performance and pre
Externí odkaz:
https://doaj.org/article/82c37d830c85465b835006256f453de5
Publikováno v:
IWOSP 2021, INTERNATIONAL WORKSHOP ON STATISTICAL PHYSICS.
A recent study by the Wall Street Journal reveals that the hydrofractured horizontal wells in shales have been producing less than forecasted by the industry with the empirical hyperbolic decline curve analysis (DCA). As an alternative to DCA, we int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e3e740fa86af89ef9db570d4854d92
https://doi.org/10.20944/preprints201912.0334.v1
https://doi.org/10.20944/preprints201912.0334.v1
Publikováno v:
Journal of Natural Gas Science and Engineering. 94:104041
We present a hybrid, data-driven and physics-based method of forecasting play-wide gas production in the Haynesville Shale, which is currently the second-largest shale gas producer in the US. We first define several statistical well cohorts, one for
Publikováno v:
Energies, Vol 12, Iss 19, p 3641 (2019)
Energies; Volume 12; Issue 19; Pages: 3641
Energies; Volume 12; Issue 19; Pages: 3641
We aim to replace the current industry-standard empirical forecasts of oil production from hydrofractured horizontal wells in shales with a statistically and physically robust, accurate and precise method of matching historic well performance and pre
We develop a method of predicting field-wide gas (or oil) production from unconventional reservoirs, using the Barnett shale as an illustration. Our method has six steps. First, divide a field of interest (here Barnett) into geographic/depositional r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bdb0e1a97abdeecfb0fce68def06a6
https://doi.org/10.26434/chemrxiv.8326898
https://doi.org/10.26434/chemrxiv.8326898