An Innovative Reservoir Method for Maximizing Drilling Success Rates in the Sui and Habib Rahi Limestone Plays of Pakistan

Abstract

Abstract

The aim of this project is to maximize drilling success rates in the Sui and Habib Rahi Limestone Play of Pakistan through reducing risks related to well placement. These risks are related to a multitude of possibilities causing a specific log response of a rock property value, such as permeability, which forms an integral part of the reservoir model. This multitude of possible causes likely results in misleading well placements.

To achieve this goal, a normalized super-property, composed of selected petrophysical properties, was created and calibrated using certain scalar factors that were given to each property in order to bring the real distribution and weightage of each of the component properties into effect.

The main observation from this project is that the novel super-property has proven to give more realistic and more accurate allocation of proposed infill well sites. This observation was documented through practical validation of negative (wet) wells, giving misleading positive responses from conventional petrophysical properties, while giving correct accurate negative response, and vice versa, using the novel combined super-property. Incorporating this novel technique into the high-resolution stratigraphic model resulted in maximizing property distribution accuracy per reservoir layer. More accurate prediction of lateral and vertical distribution of reservoir facies and petrophysical properties in three dimensions was then achieved and resulted in outlining a number of new well locations based on this technique.

The value of this novel technique lies in significantly reducing the risk of drilling negative boreholes based on static reservoir models. This is because each individual value of a property, such as water saturation, can be the result of a multitude of factors, including natural factors and/or data acquisition, processing, & interpretation pitfalls, therefore, not necessarily indicating presence of hydrocarbons. The present study reduces non-uniqueness of each individual property response using the scaled combined super-property.

AAPG Datapages/Search and Discovery Article #90260 © 2016 AAPG/SEG International Conference & Exhibition, Cancun, Mexico, September 6-9, 2016