Application of adaptive neuro-fuzzy inference system in prediction of hydrate formation temperature

Energy Sources, Part A: Recovery, Utilization and Environmental Effects

Volumn 38, Issue 5, 2016, Pages 758-762

  Zargari, Mohammad Hadi ^a   Arabloo, Milad ^b   Ghayyem, Mohammad Ali ^a  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ANFIS; hydrate formation temperature; statistical error analysis

Indexed keywords

ERROR ANALYSIS; FORECASTING; FUZZY SYSTEMS; GAS HYDRATES; HYDRATION; INTELLIGENT AGENTS; NATURAL GAS; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; COMPUTER PACKAGES; HYDRATE FORMATION CONDITIONS; HYDRATE FORMATION TEMPERATURES; HYDRATE FORMING CONDITIONS; INPUT-OUTPUT PATTERN; STATISTICAL ERROR ANALYSIS;

FUZZY INFERENCE;

EID: 84963706915     PISSN: 15567036     EISSN: 15567230     Source Type: Journal    
DOI: 10.1080/15567036.2011.586981     Document Type: Article

References (12)

1. Al-Ajmi, F., and, Holditch S. 2000. Permeability estimation using hydraulic flow units in a central Arabia reservoir. SPE Annual Technical Conference and Exhibit, Dallas, Texas, October 1-4
2. Berge, B. K. 1986. Hydrate prediction on a microcomputer. SPE Paper 15306. Petroleum Industry Application of Microcomputers,. Silvercreek, Colorado, June 18-20
3. Carroll, J. 2003. Natural Gas Hydrates: A Guide for Engineers. New York: Gulf Professional Co., 457 pp
4. Englezos P. 1993. Clathrate hydrates. Ind. Eng. Chem. Res. 32: 1251-1274
5. Hammerschmidt, E. G. 1934. Formation of gas hydrates in natural gas transmission lines. Ind. Eng. Chem. 26:851
6. Ikoku, C. U. 1984. Natural Gas Production Engineering. New York: John Wiley & Sons Inc., 516 pp
7. Jang, J. S. R., Sun, C. T., and, Mizutani, E. 1997. Neuro-Fuzzy and Soft Computing. Upper Saddle River, NJ: Prentice Hall
8. Katz, D. L., and, Lee, R. L. 1990. Natural Gas Engineering Production and Storage. New York: McGraw Hill
9. Motiee, M. 1991. Estimate possibility of hydrates. Hydrological Proceedings, July, p. 98
10. Nasrifar, Kh., Moshfeghian, M., and, Maddox R. N. 1998. Prediction of equilibrium conditions for gas hydrate formation in the mixtures of both electrolytes and alcohol. Fluid Phase Equilib. 146: 1-13
11. Sloan, E. D. 1998. Clathrate Hydrates of Natural Gases, 2nd Ed. New York, NY: Marcel Dekker Inc
12. Zargari, H., Poordad, S., and, Kharrat, R. 2013. Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran. Pet. Sci. Technol. 31: 1066-1077