Application of Logging While Drilling - Nuclear Magnetic Resonance in Reservoir Evaluation and Geosteering: A Case Study in Marrat Reservoir, Umm Roos Field, West Kuwait

Author:

Nguyen Kim Long1,Fahmy Mahmoud Fawzy1,Dzhaykiev Bekdaulet2,Odiase Paul Osadebamwen2,Al-Morakhi Rasha1,Al-Ajmi Mohammed Mubarak1,Verma Naveen Kumar1,Quttainah Riyad1

Affiliation:

1. Kuwait Oil Company

2. Baker Hughes

Abstract

Abstract The Jurassic Marrat reservoir in Umm Roos field of West Kuwait (WK) is a low-permeability carbonate reservoir with heterogeneous petrophysical character that limited the predictability of reservoir properties and highly deviated development wells are preferred to maximize the exposure of the reservoir. However, there is an environmental risk and high operational cost when running radioactive-based porosity logging tools in such complex well profiles. To avoid that risk, Nuclear Magnetic Resonance (NMR) with conventional resistivity and gamma ray in a logging while drilling (LWD) program is proposed to achieve real-time formation evaluation and efficiently support well placement to maximize the reservoir contact. This paper presents the application of LWD-NMR as an alternative solution to evaluate reservoir properties as well as to land the highly deviated well successfully in the best reservoir sweet spots to achieve the maximum outcome for production.

Publisher

SPE

Reference8 articles.

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2. Douglas J. Seifert Nuclear Magnetic Resonance Logging: While Drilling, Wireline, and Fluid Sampling. SPE-105605-MS, Middle East Oil & Gas Conference, Manama, Bahrain, March 2007.

3. Amr Serry Reservoir Characterization While Drilling - A Real Time Geosteering Answer to Maximize Well Values: A Case Study, Offshore Abu Dhabi. The 12th Middle East Geosciences Conference and ExhibitionMarch 7-10, 2016. Manama, Bahrain.

4. H.E. Ibrahim , N.Al Aboud, P.Odiase, J.Reyes. The Application of Enhanced Geo-Navigation Technique in Multilateral Well Targeting Multiple Reservoir Zones in Challenging Geological Environment. SPE-200646-MS, SPE Europec featured at 82nd EAGE Conference and Exhibition, Amsterdam, Netherlands, Virtual, December 2020.

5. N.A. Palchikovskaya , A.S.Trushin, N.S.Ismagilov, E.V.Varzegov. Automation of the construction of geosteering models adapted for LWD data. EAGE, Conference Proceedings, Horizontal Wells2021, May 2021, Volume 2021, p.1–5.

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