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SPE Annual Technical Conference and Exhibition | 2003

Analyzing Reservoir Fluid Composition In-Situ in Real Time: Case Study in a Carbonate Reservoir

Fujisawa Go; Oliver C. Mullins; Chengli Dong; Andrew Carnegie; Soraya S. Betancourt; Toru Terabayashi; Satoko Yoshida; Antonio R. Jaramillo; Mostafa Haggag

Near-infrared (NIR) spectroscopy is used to provide in-situ quantitative characterization of reservoir fluids during wireline sampling using five representative composition groupings (C1, C2–C5, C6+, CO2, and water). This information is vital for the proper execution of wireline fluid sampling jobs. Time variances of fluid compositions, along with absolute compositions, give us important clues about the phase and contamination level of the capturing samples in real time. In addition, quantitative compositional analysis during wireline sampling provides immediate identification of the critical fluid issues, thereby enabling optimization of the sample acquisition program. Laboratory pressure-volume-temperature (PVT) analysis requires samples that are captured in single phase and are relatively free from mud filtrate contamination. Such information is essential for reservoir management and flow simulation modeling. This paper consists of three parts. The first part covers laboratory NIR spectroscopic study of petroleum fluids at elevated pressures and temperatures. This extensive database, coupled with principal components regression (PCR) technique, establishes the feasibility of such an in-situ compositional analysis. The second part reports shop test results on a downhole experimental prototype. The tool estimates density for each composition group for more than 10 live fluids at conditions simulating a petroleum reservoir. Typically, the measured mass fraction for each composition group agrees with the mass fraction acquired from PVT analysis within ±5% accuracy. The final part presents a field test case study conducted in an onshore carbonate reservoir in the United Arab Emirates (UAE). A gas injection pilot has been running for years, and a comprehensive monitoring program is in place. The first field trial of the subject technology in an observation well successfully identified the presence of injected gas, as determined by fluid compositions. This result was later found to be in good agreement with laboratory PVT analysis.


International Oil Conference and Exhibition in Mexico | 2007

Integration of In-Situ Fluid Measurements for Pressure Gradients Calculations

Francois Xavier Dubost; Andrew Carnegie; Oliver C. Mullins; Mike O'Keefe; Soraya S. Betancourt; Julian Youxiang Zuo; Kaare Otto Eriksen

Reservoir fluids often show complex compositional behaviors in single columns in equilibrium due to combination s of gravity, capillary and chemical forces. Frequently non equilibrium or non stationary state conditions are also encountered, for instance due to thermal forces act ing. Recognizing these behaviors downhole is a complex process that requires a greater number of data points, flui d samples and associated laboratory analysis. Pressure gradients with wireline formation testers are traditionally used to evaluate fluid density, fluid contacts, and layer connectivity in exploration settings. This in formation is today supplemented by downhole fluid analysis (DFA) measurements to reveal possible reservoir fluid heterogeneities.


Archive | 2005

System and methods of deriving fluid properties of downhole fluids and uncertainty thereof

Lalitha Venkataramanan; Go Fujisawa; Bhavani Raghuraman; Oliver C. Mullins; Andrew Carnegie; Ricardo Vasques; Chengli Dong; Kai Hsu; Michael O'Keefe; Henry-pierre Valero


SPE Asia Pacific Conference on Integrated Modelling for Asset Management | 2004

Exploration Applications of Downhole Measurement of Crude Oil Composition and Fluorescence

Soraya S. Betancourt; Go Fujisawa; Oliver C. Mullins; Kare Otto Eriksen; Chengli Dong; Julian Pop; Andrew Carnegie


Archive | 2003

Optical fluid analysis signal refinement

Chengli Dong; Peter S. Hegeman; Oliver C. Mullins; Kai Hsu; Andrew L. Kurkjian; Andrew Carnegie


Archive | 2008

Methods and apparatuses for formation tester data processing

Andrew Carnegie; Kai Hsu; Julian Pop


Abu Dhabi International Petroleum Exhibition and Conference | 2006

Identification and Characterization of Transition Zones in Tight Carbonates by Downhole Fluid Analysis

Chenggang Xian; Ahmed Mohamed Dawoud; Andrew Carnegie; Ahmed El Mahdi; Salma Khalfan Al-Hajeri; Mahmoud Basioni; Bhavani Raghuraman; Go Fujisawa; Oliver C. Mullins


Spe Reservoir Evaluation & Engineering | 2006

Downhole Measurement of Methane Content and GOR in Formation Fluid Samples

Chengli Dong; Peter S. Hegeman; Andrew Carnegie; Hani Elshahawi


Archive | 2017

método para refinamento de dados de amostras de fluido e sistema eletrônico

Andrew Carnegie; Andrew Loris Kurkjian; Chengli Dong; Kai Hsu; Oliver C. Mullins; Peter S. Hegeman


48th Annual Logging Symposium | 2007

Downhole pH As A Novel Measurement Tool In Formation Evaluation And Reservoir Monitoring

Chenggang Xian; Bhavani Raghuraman; Andrew Carnegie; Pierre Olivier Goiran; Ahmed Berrim

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