Matrix and cement effects on residual oil saturation in sandstone formations: A neural network approach

Fathi H. Boukadi*, Saleh M. Al-Alawi, Ali S. Bemani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Residual oil in sandstone is affected by mineral composition, clay matrix and cementing material. Matrix minerals affect the affinity of a fluid to spread on a rock surface significantly and in turn controls the fluid distribution within the pore spaces. At the interface between the rock surface and the contacting fluid, electrical charges are in the origin of the extent of phase wetness. Available framework grains, a dominant component of rock matrix, affect porosity and, hence, amounts of rock preferential wetness. Cement, clay matrix and quartz overgrowth, which make up for the rest of the grain population in a rock, influence wetness and, therefore, amounts of residual oil. In this paper, spectro-electromicroscopy (SEM) point-count technique in conjunction with neural network analysis were used to determine the effect of certains rock parameters on the amounts of residual oil following waterflooding operations. Using artifcial neural network, the intent was then to predict the extent of residual oil in sandstone rocks given limited information about rock matrix, cementing material and primary porosity.

Original languageEnglish
Pages (from-to)99-113
Number of pages15
JournalPetroleum Science and Technology
Volume17
Issue number1-2
DOIs
Publication statusPublished - 1999
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Geotechnical Engineering and Engineering Geology

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