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The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
DOI: 10.1306/02242523004
An enhanced method for evaluating the static connectivity of reservoirs using
pressure
coefficient–depth plots
pressure
coefficient–depth plotsGeng Qian,1 Haifeng Yang,2 Dayong Guan,3 Jinghan Wang,4 Junpei Yue,5 and Meng Zhao6
1China National Offshore Oil Corporation (CNOOC), Tianjin, China; [email protected]
2CNOOC, Tianjin, China; [email protected]
3CNOOC, Tianjin, China; [email protected]
4CNOOC, Tianjin, China; [email protected]
5CNOOC, Tianjin, China; [email protected]
6CNOOC, Tianjin, China; [email protected]
ABSTRACT
Pressure
–depth profiles have been a cornerstone in investigating static reservoir connectivity and compartmentalization since the advent of repeated formation testing tools in the 1970s. The method operates by comparing fluid densities across reservoirs, as indicated by differences in fluid
pressure
gradients. Discerning
pressure
shifts requires that the fluids be in the same phase. However, traditional profiles falter in situations with diverse pore fluids due to unpredictable
pressure
barriers between intersecting trends. Moreover, in normal
hydrostatic
settings, pore
pressure
trends often cluster closely, making it challenging to detect minor
pressure
differences. These limitations introduce uncertainties, thereby reducing the accuracy of connectivity assessments.
This paper presents an enhanced method of plotting
pressure
coefficients against depth. For a given fluid unit, the
pressure
coefficients show an inversely proportional relationship with depth. The graph depicts a hyperbolic curve that represents fluid
pressure
variations as a function of fluid density. Differences between the function curves, described by four geometric properties—coincidence, monotonicity, asymptotics, and symmetry—are closely linked to the variable
pressure
characteristics of compartments. This study provides a detailed analysis of pore
pressure
data from the Bohai Bay Basin and introduces several case studies. The results show that comparing the geometric properties of functional relationships in
pressure
coefficient–depth plots significantly reduces uncertainties when assessing static reservoir connectivity, especially in normal
pressure
conditions and with diverse fluids.
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