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The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
Improved interpretation of wireline
pressure
data
pressure
dataAlton Brown1
1Consultant, 1603 Waterview Drive, Richardson, Texas, 75080; email: [email protected]
AUTHORS
Alton Brown worked as a research geologist at ARCO's Research Center in Plano, Texas, from 1980 until ARCO's merger with BP Amoco. Since then, he has been an independent consultant. Research interests include petroleum migration, carbonate sedimentology and diagenesis, basin analysis, and gas geochemistry.
ACKNOWLEDGMENTS
This work was completed at the ARCO Research Center in Plano, Texas. I thank ARCO and VASTAR for permission to release this study. ARCO and VASTAR have subsequently become part of BP Amoco, which is also acknowledged for its cooperation. AGIP and Petroecuador are gratefully acknowledged for releasing Villano field
pressure
data. Paul Willette, Lee Russell, and Jim Twyman reviewed earlier drafts of the manuscript. AAPG reviewers Jim Puckette and Alain Huc are also acknowledged. David Novak, Andy Harper, Paul Willette, and Herb Vickers helped with the information-release process. A. F. Veneruso kindly provided unpublished updates to his
pressure
-gauge response model. Reference to any tool or gauge model or manufacturer is not an endorsement or recommendation for that product.
ABSTRACT
Modern wireline
pressure
data can have resolution and reproducibility sufficient to detect small fluid-density changes and
pressure
barriers, yet these features are commonly overlooked on conventional
pressure
-depth plots. The large
pressure
variation caused by weight of subsurface fluids hides these subtle features. Excess
pressure
is the
pressure
left after subtracting the weight of a fluid from the total
pressure
. This concept is applied to wireline
pressure
data to remove effects of weight and emphasize subtle
pressure
differences caused by density variations and
pressure
barriers. Fluid-density changes of 0.02 g/cm3 or less can be resolved, and within-well
pressure
barriers in the order of 5 kPa (0.7 psi) can be detected. Using good-quality data, effects of reservoir
capillary
-displacement
pressure
can be detected by offset of the free-water level from the petroleum-water contact. This effect can be used to estimate reservoir wettability. Subsurface fluid-density measurements can also be used to evaluate oil or gas quality on a bed-by-bed scale in traps having variable oil or gas composition, to detect compartmentalization by small petroleum density differences, to verify quality of samples for PVT (
pressure
, volume, temperature) analysis, and estimate salinity or temperature of unsampled water zones.
Data quality limits barrier and fluid-contact resolution; thus, quality control is essential.
Pressure
measurement errors on the 3-kPa (0.5-psi) scale can be detected from behavior of the buildup
pressure
. Tests having the potential for small amounts of supercharge are identified from the overbalance and formation mobility. Examples illustrate identification of free-water levels and fluid contacts, fluid identification, supercharge identification, and water-zone compartmentalization.
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