Using statistical approaches in permeability prediction in highly heterogeneous carbonate reservoirs

Aljuboori, Faisal Awad; Lee, Jang Hyun; Elraies, Khaled Abdalla; Stephen, Karl Dunbar

doi:10.1007/s13146-021-00707-8

Cited by 4 publications

(1 citation statement)

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“…The benchmark for many reservoir quality rankings is derived directly from core samples. So, a reservoir's porosity, permeability, and saturation depend on how well it can transmit fluids [26][27][28]. Analyzing measurements from inside the wellbore, such as cores, fluid properties measured in a lab, and well logs, to assess wells for potential hydrocarbon-bearing rocks is known as formation evaluation [29][30][31][32].…”

Section: -Introductionmentioning

confidence: 99%

Petrophysical Analysis Based on Well Logging Data for Tight Carbonate Reservoir: The SADI Formation Case in Halfaya Oil Field

Jassam,

AL-Fatlawi,

Canbaz

2023

IJCPE

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Carbonate reservoirs are an essential source of hydrocarbons worldwide, and their petrophysical properties play a crucial role in hydrocarbon production. Carbonate reservoirs' most critical petrophysical properties are porosity, permeability, and water saturation. A tight reservoir refers to a reservoir with low porosity and permeability, which means it is difficult for fluids to move from one side to another. This study's primary goal is to evaluate reservoir properties and lithological identification of the SADI Formation in the Halfaya oil field. It is considered one of Iraq's most significant oilfields, 35 km south of Amarah. The Sadi formation consists of four units: A, B1, B2, and B3. Sadi A was excluded as it was not filled with hydrocarbons. The structural and petrophysical models were built based on data gathered from five oil wells. The data from the available well logs, including RHOB, NPHI, SONIC, Gamma-ray, Caliper, and resistivity logs, was used to calculate the petrophysical properties. These logs were analyzed and corrected for environmental factors using IP V3.5 software. where the average formation water resistivity (Rw = 0.04), average mud filtrate resistivity (Rmf = 0.06), and Archie's parameters (m = 2, n = 1.9, and a = 1) were determined. The well-log data values calculated the porosity, permeability, water saturation, and net-to-gross thickness ratio (N/G).

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