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Correctly Allocating Injected Gas to Targeted Zones by Integrating Data from Spectral Noise and Temperature Logs

Authors
Khaled Mohamed Alabd (ADCO) | Faizal Riza (ADCO) | Nawal Al Nuaimi (ADCO) | Ahmed Fawzy (ADCO) | Mohamed Moussa (ADCO) | Fathi Shnaib (TGT) | Mohamed El Sheshtawy (TGT) | Maxim Volkov (TGT) | Vener Nagimov (TGT) | Sergey Vorozhikhin (TGT)
DOI
https://doi.org/10.2118/177827-MS
Document ID
SPE-177827-MS
Publisher
Society of Petroleum Engineers
Source
Abu Dhabi International Petroleum Exhibition and Conference, 9-12 November, Abu Dhabi, UAE
Publication Date
2015
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-424-5
Copyright
2015. Society of Petroleum Engineers
Disciplines
3 Production and Well Operations, 5.4.2 Gas Injection Methods, 3.3 Well & Reservoir Surveillance and Monitoring, 3.3 Well & Reservoir Surveillance and Monitoring, 5.4.1 Waterflooding, 1.6 Drilling Operations, 5.4 Enhanced Recovery, 3.3.1 Production Logging, 5 Reservoir Desciption & Dynamics
Keywords
ADCO
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1 in the last 30 days
148 since 2007
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Abstract

Gas Injection alone, or in Water Alternating Gas (WAG) mode to improve oil recovery (IOR) has been widely applied since the late 1950s. The incremental oil recovery attributed to IOR has been generally estimated at 5 – 10% over Secondary Recovery (water injection alone), primarily due to preferential sweep under gravitational effects. Theoretically, water and gas injection tend to have preferential sweep due to gravitational effects and formation characteristics. In practice, however, it is an operational challenge to obtain a uniform sweep across the reservoir.

One of the biggest challenges in understanding the injection behavior in gas injection wells using the conventional production logging approach is to identify the exact entry points, and to determine a representative injection profile to the actual injection volumes. Mechanical spinners provide inflow profiles within the borehole that in many cases doesn't reflect the actual gas behavior inside the addressed layers beyond the entry point.

Gas containment in the reservoir and within the targeted zone is one of the biggest hurdles. Unlike pilot projects, in full field application, channeling, cross flows, out of zone injection and premature breakthrough often occur, resulting in wasting gas, delayed response, and lower than expected recovery.

Effective reservoir management requires active & efficient reservoir surveillance in order to optimize well & reservoir performance. It is, therefore, critical to design a proactive program for data acquisition, integrating that data into a knowledge data base and to transform that knowledge into valuable information to guide future operations for remedial work, recompletion, infill drilling, and further development programs.

This paper discusses in detail how the injection profile geometry was described, and injected gas volumes were correctly allocated to targeted zones in one of the giant onshore oil fields in Abu Dhabi, UAE operated by ADCO, using integrated HPT (High Precision Temperature) and SNL (Spectral Noise Logging). Data from HPT and SNL logging package was integrated to successfully monitor water injection, identify cross-flows and locate casing leaks in injection wells for the past 2-3 years. Based on the performance, reliability, and accuracy of this advanced logging technology, ADCO has decided to use the same tools and temperature simulation to track gas injection, gas flow profile behind pipe, and to monitor any communication with any extraneous thief zones.

File Size  1 MBNumber of Pages   8

R. Al Marzouqi, A. Keshka, J. N. Bahamaish, Tareq Al Junaibi A. Aslanyan, I. Aslanyan, M. Filenev, J.Barghouti, V. Sudakov, A. Andreev, "Integrating Reservoir Modeling, High Precision Temperature Logging and Spectral Noise logging for waterflood analysis" ADIPEC 2012, Abu-Dhabi, U.A.E

Arthur Aslanyan, Irina Aslanyan, Christian Demski, Maryam Al Touqi, 2007, "Evaluation of water flooding efficiency through the static high precision temperature logging" Middle East Regional SPWLA Symposium, 44 pp.

Aslanyan A.M.Dawidov D.A., 2010, "SNL White Paper," User Manual – Dubai, UAE, pp 20, http://www.tgtoil.com/templates/tgt_general/materials/presentations/SNL.

IhabNabilMohamed, Mohamed El-Hamawi, Rasheed Ahmad Al Hassan, Arthur Aslanyan, Maxim Filenev, Irina Aslanyan, Jamal Bargouthi, Bassam Salim "Leak Detection by Temperature and Noise Log" ADIPEC 2012, Abu-Dhabi, U.A.E

Hasan Al Hosani, 2006, "Managing Sustainable Annulus Pressure (SAP) in ADCO field," Abu-Dhabi International Petroleum Exhibition and Conference, 5-8 November 2006, Abu-Dhabi, U.A.E.

Mohammad A. Farooqui, Abdulhameed S. Al-Reyahi, Karim K. Nasr, 2007, "Application of Ultrasonic Technology for Well Leak Detection," International Petroleum Technology Conference, 4-6 December 2007, Dubai, U.A.E.

R.M. McKinley, 1994, "Temperature, Radioactive Tracer, and Noise Logging for Well Integrity," Exxon Production Research. Ada Oklahoma pp 160.

R.M. McKinley, F.M. Bower, R.C. Rumble, 1973, "The Structure and Interpretation of Noise From Flow Behind Cemented Casing," Journal of Petroleum Technology, 3999-PA

Salim Ghalem, D. Elyes Draoui, Ayman Mohamed, Osama Keshta, Amr Mohamed Serry, Ali Al-Felasi, Ahmed Berrim and Hicham Abu Chaker, Maxim Filenev, Alfiya Gabdrakhmanova Irina Aslanyan and Arthur Aslanyan, "Innovative Noise and High-Precision Temperature Logging Tool for Diagnosing Complex Well Problem" ADIPEC 2012, Abu-Dhabi, U.A.E

A.A. Lutfullin (Novatek-Tarkosaleneftegaz LLC) | A.R. Abdrahimov (Novatek JSC) | I.N. Shigapov (TGT Oilfield Services) | I. Yu. Aslanyan (TGT Oilfield Services) | A.M. Aslanyan (TGT Oilfield Services) | R.K. Kuzyutin (TGT Oilfield Services) "Identification of Behind-Casing Flowing Reservoir Intervals by the Integrated High-Precision Temperature and Spectral Noise Logging Techniques"

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