SPE International Thermal Operations Symposium 1993
DOI: 10.2118/25787-ms
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Optimal Choice of Completion Intervals for Injectors and Producers in Steamfloods

Abstract: This work studies systematically the effects of completion intervals of both injectors and producers on steamflood performance and seeks the optimal choice of the completion intervals. Simulation results showed that, in the absence of deterministic shales, the optimal choices will improve the steamflood performance, significantly in many cases.

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Cited by 4 publications
(2 citation statements)
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“…The higher the steam quality will produce higher cumulative production, therefore the recovery factor obtained is also higher (Erfando, Rita, & Marliaty, 2017). Chu (1993) states that the normal seven-spot has lower recovery factor then inverted seven-spot. The results of seven-spot and inverted seven-spot analysis resulted in the highest incremental recovery factor increase in the seven-spot inverted pattern with quality steam 0,9 of 37.1 % with a cumulative production of 284661 bbl (figure 3 and table 3).…”
Section: Resultsmentioning
confidence: 99%
“…The higher the steam quality will produce higher cumulative production, therefore the recovery factor obtained is also higher (Erfando, Rita, & Marliaty, 2017). Chu (1993) states that the normal seven-spot has lower recovery factor then inverted seven-spot. The results of seven-spot and inverted seven-spot analysis resulted in the highest incremental recovery factor increase in the seven-spot inverted pattern with quality steam 0,9 of 37.1 % with a cumulative production of 284661 bbl (figure 3 and table 3).…”
Section: Resultsmentioning
confidence: 99%
“…Simulation and Performance Prediction Advances in computer hardware and numerical solution techniques in the past 15 years have made it possible to develop complex thermal simulators and conduct fieldwide simulations Blunschi, 1987). Advances in thermal simulation techniques have contributed to the development of advanced steamflood implementation techniques and operational practices (Kumar, 1990;Hong, 1988;Hong, 1991;Chu, 1993a;Chu, 1993b;Hong, 1993). Newer and more reliable steamflood performance prediction models are being developed using historical production data ("orabzadeh et al, 1990;Hanigal and Wilcox, 1992).…”
Section: 747mentioning
confidence: 99%