Open AccessUse Conventional and Statistical Methods for Porosity Estimating in Carbonate Reservoir in Southern Iraq, Case Study
Author(s) -
Ali Hussein Tali
Publication year - 2021
Publication title -
iraqi geological journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.2
H-Index - 5
eISSN - 2663-8754
pISSN - 2414-6064
DOI - 10.46717/igj.54.2d.3ms-2021-10-22
Subject(s) - porosity , petrophysics , geology , permeability (electromagnetism) , effective porosity , saturation (graph theory) , matrix (chemical analysis) , petroleum reservoir , mineralogy , perforation , petroleum engineering , geotechnical engineering , mathematics , materials science , composite material , combinatorics , membrane , biology , punching , genetics
Porosity is important because it reflects the presence of oil reserves. Hence, the number of underground reserves and a direct influence on the essential petrophysical parameters, such as permeability and saturation, are related to connected pores. Also, the selection of perforation interval and recommended drilling additional infill wells. For the estimation two distinct methods are used to obtain the results: the first method is based on conventional equations that utilize porosity logs. In contrast, the second approach relies on statistical methods based on making matrices dependent on rock and fluid composition and solving the equations (matrices) instantaneously. In which records have entered as equations, and the matrix is solved in one step, the porosity, saturation, and volume of minerals embedded inside the rock formations were obtained. The results indicated that the porosity was determined using statistical and conventional approaches matched to the core porosity. In the end, statistical techniques afford a different path for calculation and provide outcomes that can be used in all situations, particularly when the rock has many types of components. Furthermore, it is not based on conventional equations and overcomes the problems coming from the unreliability of porosity logs in formations containing mixed minerals.