Andrew Carnegie
Carnegie Learning
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SPE Annual Technical Conference and Exhibition | 2003
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
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
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
Soraya S. Betancourt; Go Fujisawa; Oliver C. Mullins; Kare Otto Eriksen; Chengli Dong; Julian Pop; Andrew Carnegie
Archive | 2003
Chengli Dong; Peter S. Hegeman; Oliver C. Mullins; Kai Hsu; Andrew L. Kurkjian; Andrew Carnegie
Archive | 2008
Andrew Carnegie; Kai Hsu; Julian Pop
Abu Dhabi International Petroleum Exhibition and Conference | 2006
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
Chengli Dong; Peter S. Hegeman; Andrew Carnegie; Hani Elshahawi
Archive | 2017
Andrew Carnegie; Andrew Loris Kurkjian; Chengli Dong; Kai Hsu; Oliver C. Mullins; Peter S. Hegeman
48th Annual Logging Symposium | 2007
Chenggang Xian; Bhavani Raghuraman; Andrew Carnegie; Pierre Olivier Goiran; Ahmed Berrim