Zobrazeno 1 - 10
of 97
pro vyhledávání: '"A. C. Gringarten"'
Autor:
A. C. Gringarten
Publikováno v:
Day 3 Wed, June 08, 2022.
Objectives/Scope Transient well test analysis has been used to assess well condition and obtain reservoir parameters for over seventy years. At a time when Machine Learning (ML) and Artificial Intelligence (AI) are coming-of-age and may eventually re
Autor:
Kambiz Razminia, Alain C. Gringarten
Publikováno v:
Day 3 Wed, October 20, 2021.
Objectives/Scope Single well deconvolution (von Schroeter et al., 2001) has been added to the well test interpretation toolbox nearly twenty years ago. In recent years, the single well deconvolution algorithm has been extended to multiple interfering
Publikováno v:
Day 2 Wed, December 02, 2020.
Objectives/Scope A stable, single-well deconvolution algorithm has been introduced for well test analysis in the early 2000’s, that allows to obtain information about the reservoir system not always available from individual flow periods, for examp
Publikováno v:
Day 2 Tue, October 27, 2020.
Well test analysis requires the knowledge of bottomhole pressure and rates from the well of interest, and from any other well involved in the case of interferences. Sometimes, bottomhole pressures are not available and must be estimated from wellhead
Autor:
Saifon DAUNGKAEW, Alain C GRINGARTEN
Publikováno v:
Walailak Journal of Science and Technology, Vol 1, Iss 1 (2011)
In the petroleum industry, gas condensate reservoirs are becoming more common as exploration targets. However, there is a lack of knowledge of the reservoir behaviour mainly due to its complexity in the near wellbore region, where two phases, i.e. re
Externí odkaz:
https://doaj.org/article/095eed81ecae4156bf488c033ac13816
Publikováno v:
Day 3 Wed, October 02, 2019.
Objectives/Scope This paper uses pseudo-time to extend the application of constrained multiwell deconvolution algorithm to gas reservoirs with significant pressure depletion. Multiwell deconvolution is the extension of single well deconvolution to mu
Publikováno v:
Day 2 Tue, June 04, 2019.
Objectives/Scope This paper applies a new constrained multiwell deconvolution algorithm to two field cases: a gas reservoir with two producers, and an oil reservoir with three producers and one injector. Responses given by the constrained multiwell d
Publikováno v:
Day 3 Thu, April 25, 2019.
Objectives/Scoper In this paper, we reduce non-uniqueness and ensure physically feasible results in multiwell deconvolution by incorporating constraints and knowledge to the methodology of Cumming et al. (2014). The constraints discourage non-physica
Publikováno v:
Day 3 Wed, October 11, 2017.
This paper presents a conceptual model of the Haynesville Shale which matches dynamic pressure behaviors over periods of 2 to 5 years of all 20 wells investigated. It assumes three stages of productivity deterioration, with matrix permeability declin
Publikováno v:
SPE Reservoir Evaluation & Engineering. 17:457-465
Summary In well-test analysis, deconvolution is used to transform variable-rate-pressure data into a single constant-rate drawdown suitable for interpretation. It is becoming part of a standard workflow for exploration and appraisal well-test analyse