Abstract: Optimization of Reservoir Development and Production Using Fullbore FMI Data
Reservoir development and production optimization requires knowledge about the static description of the reservoir as well as the dynamic fluid transport phenomenon of the reservoir. A number of geologic and geophysical tools can be used to delineate the reservoir and describe it for depositional environment, reservoir orientation, location of faults and fractures, and sand transport direction. The information that is vital to ascertain the dynamic fluid transport phenomenon is the detailed as well as regional permeability distribution.
Traditionally, formation permeability is obtained by performing laboratory measurements on core samples or by performing transient pressure tests on selected intervals. Permeability measured via transient pressure test represents actual fluid movement; however, it may not provide the detailed breakdown of the various layers and zones necessary for development and production optimization. Permeability from core tests can lack true representation of the formation and typically does not allow regional distribution. Our aim is to estimate detailed and regional permeability distribution continuously through the interval of interest.
In this paper we first qualitatively demonstrate the use of the resistivity image data from the Fullbore Formation Imager (FMI) to identify presence of porous rock material comprising the detail layer or zone permeability. In sedimentary rocks it is demonstrated that the image resistivity increases (or image conductivity decreases) with the increase in permeability. Next, we illustrate the development of quantitative permeability determination from the scaled resistivity images by performing nonlinear regression of the data with measured permeability data on selected intervals. Our study shows that for a particular field or basin one such correlation per interval can be adequate. The correlations are applicable irrespective of well type (production or injection). Finally, we present t o field case examples to illustrate the development and application of the technique in optimizing field development and production/injection operation.
AAPG Search and Discovery Article #90982©1994 AAPG International Conference and Exhibition, Kuala Lumpur, Malaysia, August 21-24, 1994