Pressure Behavior in Finite Channel-Levee Complexes

Bourgeois, Marcel; Daviau, F.; Combe, J-L. Boutaud de la

doi:10.2118/26461-pa

Cited by 23 publications

(8 citation statements)

References 13 publications

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“…Bourgeois, et al (1996) modeled a similar system using a linear composite model. 8b and 9b show the matches with the proposed Model 2 combining a low permeability drainage area representing overbank sediments surrounding a higher permeability area representing a channel belt surrounding the well.…”

Section: Combined Bu-rnp Analysismentioning

confidence: 99%

Integration of Pressure Buildup Deconvolution With the Rate-Normalized Pressure

Davani¹,

Sinurat²,

Tran³

et al. 2010

Proceedings of North Africa Technical Conference and Exhibition

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Pressure transient analysis (PTA) is typically performed on pressure BU data acquired over a period from a few hours to a few days, while production data analysis (PDA) is performed with production data acquired over a period of a few days to several years. Recent approaches to extending a pressure BU response by deconvolving production data seem promising, but simple rate-normalized pressure (RNP) and its derivative may be more straightforward provided redundant data and artifacts are eliminated in the RNP processing.This paper offers a unified PTA-PDA analysis combining pressure BU deconvolution with the RNP. Using the RNP as the indicator of the late-time behavior, the unified PTA-PDA analysis can provide a virtual constant rate drawdown response for the duration of the production data including the early time response from a selected pressure BU transient. The virtual pressure change and, in particular, its derivative provide trends easily identified as flow regimes suggesting model features that must be included in a simulated drawdown intended to match the unified response.A model match with the virtual drawdown resulting from the unified PTA-PDA analysis offers a model consistent with the entire production history that can be used to forecast future production behavior and reserves for the well. Synthetic and field examples illustrate the approach.

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Section: Combined Bu-rnp Analysismentioning

confidence: 99%

Integration of Pressure Buildup Deconvolution With the Rate-Normalized Pressure

Davani¹,

Sinurat²,

Tran³

et al. 2010

Proceedings of North Africa Technical Conference and Exhibition

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show abstract

“…Curve (2) shows the additional effect of the impermeable bottom boundary of layer 2, which creates a stabilization at twice the level of the first stabilization, before the final stabilization corresponding to . Curve (3) includes the effect of crossflow from layer 1 and from layer 3.…”

Section: Analysis Of Well Test Data From Well Hmentioning

confidence: 99%

“…Early interpretation methods (using straight lines or log-log pressure plots) were limited and consequently, well test analysis was mostly used for the estimation of well performance. With the introduction of pressure derivative analysis in 1983 1 and the development of complex interpretation models that are able to account for detailed geological features [2][3][4] , well test analysis has become a very powerful tool for reservoir characterization.…”

Section: Introductionmentioning

confidence: 99%

Analysis of an Extended Well Test to Identify Connectivity Between Adjacent Compartments in a North Sea Reservoir

Gringarten

2005

Proceedings of SPE Europec/Eage Annual Conference

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The paper demonstrates the usefulness of extended well tests and advanced interpretation techniques to complement seismic information with an example from a North Sea reservoir. This reservoir is heavily faulted but seismic indicated that the faults were discontinuous, thus suggesting good communication between the various parts of the reservoir. To verify this, tests were run on the two wells already drilled: an extended four month test on a vertical well, followed by a four and a half month shut-in; and a conventional test on a horizontal well. The extended test was analyzed in both the conventional way (one flow period at a time) and by deconvolution of the entire pressure and rate histories. The combination of the interpretations of the tests on both wells allowed to delineate compartments in the reservoir, to assess their connectivity and to correct the seismic information.The paper illustrates the difficulty of interpreting data in the conventional way, as most interpretable flow periods are short (200 hours maximum) compared to the length of the test and individually may be misleading, as derivative shapes tend to be dominated by features reflecting the way log derivatives are calculated rather than by the geology. It is shown that deconvolution is free from these limitations and provides a much clearer picture of the well behavior.

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“…The last interpretation is consistent with the analytical model of a finite channel layer. 19 ᭹ DST at well No. 2 ͑Fig.…”

Section: Permeability-porosity Correlationmentioning

confidence: 99%

Reservoir Characterization Constrained to Well Test Data: A Field Example

Landa

Kamal²,

Jenkins³

et al. 1996

SPE Annual Technical Conference and Exhibition

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In this paper we present a method to integrate well test, production, shut-in pressure, log, core, and geological data to obtain a reservoir description for the Pagerungan field, offshore Indonesia. The method computes spatial distributions of permeability and porosity and generates a pressure response for comparison to field data. This technique produced a good match with well-test data from three wells and seven shut-in pressures. The permeability and porosity distributions also provide a reasonable explanation of the observed effects of a nearby aquifer on individual wells. As a final step, the method is compared to an alternate technique ͑object modeling͒ that models the reservoir as a two-dimensional channel. *Now with Chevron Petroleum Technology Co. **Now with DeGolyer and MacNaughton.

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Pressure Behavior in Finite Channel-Levee Complexes

Cited by 23 publications

References 13 publications

Integration of Pressure Buildup Deconvolution With the Rate-Normalized Pressure

Integration of Pressure Buildup Deconvolution With the Rate-Normalized Pressure

Analysis of an Extended Well Test to Identify Connectivity Between Adjacent Compartments in a North Sea Reservoir

Reservoir Characterization Constrained to Well Test Data: A Field Example

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