全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

Screening and PVT Analysis on Explored-Not-Productive Southern Iranian Oilfields

DOI: 10.4236/oalib.1101437, PP. 1-11

Subject Areas: Chemical Engineering & Technology

Keywords: Gas Injection, EOR, Recombination, Swelling, CO2, N2

Full-Text   Cite this paper   Add to My Lib

Abstract

One of the main concerns of each petroleum engineer is the selection of the best EOR method to maximize the oil production from the reservoir. In this regard, one of the explored-not-productive southern Iranian oil fields was considered as the objective of this study to find which enhanced oil recovery (EOR) method is the proper method to apply on this reservoir. Therefore, a procedure capable of combining the data extracted from different sources ranging from worldwide field experiences to the existing tables into a unified expert system is used. This expert system is based on Bayesian network analysis in order to sort the proper EOR techniques for further assessment by economical and environmental criteria. In addition, after collecting of surface samples at the gas and liquid separator, and subsequently recombined with solution gas oil ratio, several tests including constant composition expansion (CCE) (flash vaporization, flash liberation flash expansion, pressure-volume relations), differential vaporization (differential liberation differential expansion) and solubility and swelling tests were performed.

Cite this paper

Lashkarbolooki, M. , Bayt, M. , Hezave, A. Z. , Ayatollahi, S. and Vahdani, H. (2015). Screening and PVT Analysis on Explored-Not-Productive Southern Iranian Oilfields. Open Access Library Journal, 2, e1437. doi: http://dx.doi.org/10.4236/oalib.1101437.

References

[1]  Lashkarbolooki, M., Ayatollahi, S. and Riazi, M. (2014) The Impacts of Aqueous Ions on Interfacial Tension and Wettability of an Asphaltenic-Acidic Crude Oil Reservoir during Smart Water Injection. Journal of Chemical and Engineering Data, 59, 3624.
http://dx.doi.org/10.1021/je500730e
[2]  Lashkarbolooki, M., Ayatollahi, S. and Riazi, M. (2014) Effect of Salinity, Resin, and Asphaltene on the Surface Properties of Acidic Crude Oil/Smart Water/Rock System. Energy Fuels, 28, 6820-6829.
http://dx.doi.org/10.1021/ef5015692
[3]  Kamari, A., Nikookar, M., Sahranavard, L. and Mohammadi, A.H. (2014) Efficient Screening of Enhanced Oil Recovery Methods and Predictive Economic Analysis. Neural Computing and Applications, 25, 815-824.
http://dx.doi.org/10.1007/s00521-014-1553-9
[4]  Green, D.W. and Willhite, G.P. (1998) Enhanced Oil Recovery, SPE Textbook Series, Volume 6. Society of Petroleum Engineers, Richardson, Texas.
[5]  Chukwudeme, E.A. and Hamouda, A.A. (2009) Enhanced Oil Recovery (EOR) by Miscible CO2 and Water Flooding of Asphaltenic and Non-Asphaltenic Oils. Energies, 2, 714-737.
http://dx.doi.org/10.3390/en20300714
[6]  Siemek, J., Nagy, S. and Zawisza, L. (2006) Acta Montanistica Slovaca, 1, 172.
[7]  Zerafat, M.M., Ayatollahi, S., Mehranbod, N. and Barzegari, D. (2011) SPE Enhanced Oil Recovery Conference, Kuala Lumpur, 19-21 July 2011.
[8]  Aladasani, A. and Bai, N. (2010) Proceeding of the CPS/SPE International Oil and Gas Conference and Exhibition, Beijing.
[9]  Barzegari, D., Ayatollahi, S., Zerafat, M.M. and Roosta, A.A. (2010) Proceeding of 14th International Oil, Gas and Petrochemical Congress, Tehran.
[10]  Dickson, J.L., Leahy-Dios, A. and Wylie, P.L. (2010) Proceeding of SPE Improved Oil Recovery Symposium, Tulsa.
[11]  Gharbi, R.B.C. (2000) An Expert System for Selecting and Designing EOR Processes. Journal of Petroleum Science and Engineering, 27, 33-47.
http://dx.doi.org/10.1016/S0920-4105(00)00049-8
[12]  Gharbi, R. (2005) Application of an Expert System to Optimize Reservoir Performance. Journal of Petroleum Science and Engineering, 49, 261-273.
http://dx.doi.org/10.1016/j.petrol.2005.05.008
[13]  Guerillot, D.R. (1988) The Symposium on Petroleum Industry Applications of Microcomputers, San Jose, 27-29 June 1988.
[14]  Lee, J.Y., Shin, H.J. and Lim, J.S. (2011) Selection and Evaluation of Enhanced Oil Recovery Method Using Artificial Neural Network. Geosystem Engineering, 14, 157-164.
http://dx.doi.org/10.1080/12269328.2011.10541345
[15]  Parkinson, W.J., Luger, G.F., Bretz, R.E. and Osowski, J. (1994) Using an Expert System to Explore Enhanced Oil Recovery Methods. Computers & Electrical Engineering, 20, 181-197.
http://dx.doi.org/10.1016/0045-7906(94)90029-9
[16]  Taber, J.J. and Martin, F.D. (1983) Proceeding of the 58th Annual Technical Conference and Exhibition, San Francisco.
[17]  Taber, J.J., Martin, F.D. and Seright, R.S. (1997) Proceeding of the SPE/DOE Improved Oil Recovery Symposium, Tulsa.
[18]  Taber, J.J., Martin, F.D. and Seright, R.S. (1997) EOR Screening Criteria Revisited—Part 2: Applications and Impact of Oil Prices. Proceeding of the SPE/DOE Improved Oil Recovery Symposium, Tulsa.
[19]  Al Adsani, A. and Bai, B. (2011) Analysis of EOR Projects and Updated Screening Criteria. Journal of Petroleum Science and Engineering, 79, 10-24.
http://dx.doi.org/10.1016/j.petrol.2011.07.005
[20]  Goodlett, G.O., Honarpour, F.T., Chung, F.T. and Sarathi, P.S. (1986) Paper SPE 15172, The Rocky Mountain Regional Meeting, Billings, 19-21 May 1986.
[21]  McCain, W.D. (1990) The Properties of Petroleum Fluids. 2nd Edition, PennWell Books, PennWell Publishing Company, Tulsa.
[22]  Strong, J., Thomas, F.B. and Bennion, D.B. (1993) The CIM 1993 Annual Technical Conference in Calgary, 9-12 May 1993, Petroleum Society of CIM, Paper NO. CIM 93-54.
[23]  Sequeira, D.S. (2006) Compositional Effects on Gas-Oil Interfacial Tension and Miscibility at Reservoir Conditions. Master of Science Thesis, Louisiana State University, Baton Rouge.
[24]  Willhite, G.P. (1986) Waterflooding: Society of Petroleum Engineers. Richardson.
[25]  Zheng, B. and Xu, J. (2014) Carbon Capture and Storage Development Trends from a Techno-Paradigm Perspective. Energies, 7, 5221-5250.
http://dx.doi.org/10.3390/en7085221

Full-Text


comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413