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Naturally fractured tight gas reservoir detection optimization

Naturally fractured tight gas reservoir detection optimization

Abstract

The previous report provided a detailed summary of the work data on the project at the Rulison field. Key to this report was the finding that the regions where wells showed good EURs were spatially associated with faulting. Specifically, areas considered more permeable due to the presence of natural fractures are generally located in the high-side (footwall) of reverse faults. While this association seems to hold in the Rulison seismic data coverage, this association requires corroboration. Thus the work plan for the quarter of July 1, 1997--September 30, 1997 consisted of three tasks: (1) perform detailed fault mapping of Rulison 3-D seismic data with Barrett Resources; (2) review SOCO 2-D seismic fault mapping and structural interpretations; and (3) initial work into developing a predictive method for locating fault-related natural fractures. The first two tasks were initiated and completed during this reporting period. The work involved required at the collaborative effort between the field operators and ARI staff. The third task marks the beginning of quantitative fracture mechanics analysis of the geologic processes that are involved for the development of fault-related natural fractures. The goal of this work is to develop a predictive capability of locating natural fractures prior to drilling.

Country
United States
Related Organizations
Keywords

Data Analysis, Geologic Fractures, Natural Gas Deposits, Fracture Mechanics, Fractured Reservoirs, Geologic Faults, 03 Natural Gas, Seismic Surveys, Permeability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average