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Abstract <p>A predictive scheme results from combination of NMR log and core data, introduced to understand the association between most important outputs of the Nuclear Magnetic Resonance (NMR) log data with core data, which is used in the Mishrif Formation from five oil fields in Iraq in Buzurgan, Halfaya, West Qurna, Majnoon, and finally North Rumaila. The oil wells were studied from Buzurgan field (Bu-24, Bu-39, Bu-40, Bu-41, Bu-51). The methods are based on statistical techniques such as multivariate regression to cluster the variables of NMR (as FFI). We combined KCOAT, KSDR and Øe (pivotal properties) with the core data. The study focused on the flow units, storage units. The NMR fingerprint results show some of interactive depth in the permeability and porosity in Majnoon with a correlation. West Qurna and North Rumaila show heterogeneity, whereas Halfaya and Majnoon are more uniform.</p>

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Predictive Scheme for Mishrif Reservoir: Core and NMR Log Data Integration

  • 期刊论文

  • 发表日期：

    2026年7月30日

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  • Hiba M. Shakr Al-Jinaay,
  • Wisam H. Alateya,
  • Dheiaa Alfarge,
  • Hussein M. Abbas

摘要

Abstract

A predictive scheme results from combination of NMR log and core data, introduced to understand the association between most important outputs of the Nuclear Magnetic Resonance (NMR) log data with core data, which is used in the Mishrif Formation from five oil fields in Iraq in Buzurgan, Halfaya, West Qurna, Majnoon, and finally North Rumaila. The oil wells were studied from Buzurgan field (Bu-24, Bu-39, Bu-40, Bu-41, Bu-51). The methods are based on statistical techniques such as multivariate regression to cluster the variables of NMR (as FFI). We combined KCOAT, KSDR and Øe (pivotal properties) with the core data. The study focused on the flow units, storage units. The NMR fingerprint results show some of interactive depth in the permeability and porosity in Majnoon with a correlation. West Qurna and North Rumaila show heterogeneity, whereas Halfaya and Majnoon are more uniform.