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Thin Beds and Cutoffs: Improved Assessment and Modeling of Net Porous Volume

Applying a cutoff consists of defining a threshold value on one or more logs to separate the reservoir intervals in which hydrocarbons are mobile from the gross rock thickness. In a thin-bed context, this deterministic approach is insufficient because of the resolution of the logs and a limited number of data. The probabilistic approach proposed in this paper considers that the relationship between the cutoff value on the selected log and hydrocarbon mobility in the sandy laminae is a statistical function.

Introduction

Cutoffs in petrophysics are frequently applied in the oil and gas industry. Previous work has shown the benefits that result from their use, in particular the decrease in the biases related to the upscaling of petrophysical properties, as well as the usual disadvantages of using cutoffs (i.e., the possible decrease of volume-in-place calculations and connectivity). The overall increase in computer power and cell-size reduction in cellular models, as well as the improvement in upscaling methodologies, render the use of cutoffs less crucial for massive sandstone facies.

The objective of this paper is to propose a probabilistic approach to cutoffs in order to improve the coherency and quality of 3D cellular models.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 166045, “Thin Beds and Cutoffs: A Probabilistic Approach for an Improved Assessment and Modeling of the Net Porous Volume,” by J. Clavel and P. Ruelland, Total, prepared for the 2013 SPE Reservoir Characterisation and Simulation Conference and Exhibition, Abu Dhabi, 16–18 September. The paper has not been peer reviewed.
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Thin Beds and Cutoffs: Improved Assessment and Modeling of Net Porous Volume

01 August 2014

Volume: 66 | Issue: 8

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