Exxonmobil Upstream Research Company

Ryan A Kudva

Sergio A Leonardi

Quinn R Passey

Shan H Yang

Sepehr Arbabi

John W Miertschin

Somnath Sinha

Alexander C Wood, Iii

Edward M Braun

Timothy E Zirkle

A calibration standard or check plug provides calibration standards in the permeability range of 10-10,000 nanoDarcy. The check plug is of similar exterior dimensions to a core sample that would be used with existing permeameters. The check plug is constructed from an impermeable material that is insensitive to moisture. The check plug has one or more channels of known diameter from which the permeability may be calculated. Methods for use thereof and methods of manufacture thereof are also disclosed.

Capillary-based calibration standards for measurement of permeability

The invention relates to a method for predicting the performance of large-scale hydrocarbon-bearing reservoir floods. One embodiment of the invention includes a method for predicting performance of a patterned flooding process in a subterranean hydrocarbon-bearing formation, said formation being penetrated by a plurality of injector wells and producer wells, comprising the steps of: determining flow-based pairs of injector to producer wells [FIG., item] (first well pairs) using a geological model [item; developing a connective pore volume distribution curve for each first well pair item []; selecting at least two first well pairs (selected well pairs) that reflect narrow and wide connective pore volume distributions that correspond to high and lower oil recovery levels; developing a 3-D simulation model for each selected well pair, performing a reservoir simulation for each selected well pair for the corresponding flooding process; and generating prototype performance curves for each selected well pair. An alternate embodiment of the invention includes a method for predicting the performance of large-scale hydrocarbon-bearing reservoir floods where injection well location, production well location, a process parameter, or a well processing rate is modified.

Performance prediction method for hydrocarbon recovery processes

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Manvel, TX, United States of America

Ryan A Kudva