Petrophysical estimation of permeability as a function of scale

Geological Society Special Publication

Volumn 122, Issue , 1997, Pages 159-168

  Worthington, Paul F ^a  

^a Cline and Associates   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROCARBON RESERVOIR; PERMEABILITY; PHYSICAL PROPERTY; SCALE EFFECT;

EID: 0031544950     PISSN: 03058719     EISSN: None     Source Type: Book Series    
DOI: 10.1144/GSL.SP.1997.122.01.12     Document Type: Article

References (31)

1. AHMED, U., CRARY, S. F. & COATES, G. R. 1991. Permeability estimation: the various sources and their interrelationships. Journal of Petroleum Technology, 43, 578-587.
2. ALGER, R. P. 1966. Interpretation of electric logs in fresh water wells in unconsolidated formations. Transactions SPWLA 7th Annual Logging Symposium, CC1-25, Society of Professional Well Log Analysts, Houston, Texas.
3. AMAEFULE, J. O., ALTUNBAY, M., TIAB, D., KERSEY, D. G. & KEELAN, D. K. 1993. Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored wells. SPE Paper 26436, Society of Petroleum Engineers, Richardson, Texas.
4. ARCHIE, G. E. 1942. The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions American Institute of Mining and Metallurgical Engineers, 146, 54-62.
5. BALL, L. D., CORBETT, P. W. M., JENSEN, J. L. & LEWIS, J. J. M. 1994. The role of geology in the behaviour and choice of permeability predictors. SPE Paper 28447, Society of Petroleum Engineers, Richardson, Texas.
6. BARKER, R. D. & WORTHINGTON, P. F. 1972. Methods for the calculation of true formation factors in the Bunter Sandstone of northwest England. Engineering Geology, 6, 213-228.
7. BIELLA, G., LOZEJ, A. & TABACCO, I. 1983. Experimental study of some hydrogeophysical properties of unconsolidated porous media. Ground Water, 21, 741-751.
8. CAROTHERS, J. E. 1968. A statistical study of the formation factor relation. The Log Analyst, 9(5), 13-20.
9. CHORK, C. Y., JIAN, F. X. & TAGGART, I. J. 1994. Porosity and permeability estimation based on segmented well log data. Journal of Petroleum Science and Engineering, 11, 227-239.
10. CRAIG, D. E. 1991. The derivation of permeability-porosity transforms for the H. O. Mahoney Lease, Wasson Field, Yoakum County, Texas. In: LAKE, L. W., CARROLL, H. B. JR. & WESSON, T. C. (eds) Reservoir Characterization II. Academic Press, San Diego, California, 289-312.
11. CROFT, M. G. 1971. A method of calculating permeability from electric logs. US Geological Survey Professional Papers, 750-B, B265-269.
12. DAWE, B. A. & MURDOCK, D. M. 1990. Laminated sands: an assessment of log interpretation accuracy by an oil-base mud coring program. SPE Paper 20542, Society of Petroleum Engineers, Richardson, Texas.
13. HOOK, J. R., NIETO, J. A., KALKOMEY, C. T. & ELLIS, D. 1994. Facies and permeability prediction from wireline logs and core - a North Sea study. Transactions SPWLA 35th Annual Logging Symposium, AAA1-22, Society of Professional Well Log Analysts, Houston, Texas.
14. JENSEN, J. L. & LAKE, L. W. 1985. Optimization of regression-based porosity-permeability predictions. Transactions CWLS 10th Formation Evaluation Symposium, R1-22, Canadian Well Logging Society, Calgary, Alberta.
15. JOHNSON, W. W. 1994. Permeability determination from well logs and core data. SPE Paper 27647, Society of Petroleum Engineers, Richardson, Texas.
16. KELLER, G. V. 1964. Compilation of electrical properties from electrical well logs. Colorado School of Mines Quarterly, 59(4), 91-110.
17. KELLY, W. E. 1977. Geoelectric sounding for estimating aquifer hydraulic conductivity. Ground Water, 15, 420-425.
18. KWADER, T. 1985. Estimating aquifer permeability from formation resistivity factors. Ground Water, 23, 762-766.
19. LIN, J. L. & SALISCH, H. A. 1994. Determination from well logs of porosity and permeability in a heterogeneous reservoir. SPE Paper 28792, Society of Petroleum Engineers, Richardson, Texas.
20. LOMAX, J. & HOWARD, H. 1994. New logging tool identifies permeability in shaley sands. Oil & Gas Journal, 92(51), 104-108.
21. MOHAGHEGH, S., AREFI, R., AMERI, S. & ROSE, D. 1994. Design and development of an artificial neural network for estimation of formation permeability. SPE Paper 28237, Society of Petroleum Engineers, Richardson, Texas.
22. NELSON, P. H. 1994. Permeability-porosity relationships in sedimentary rocks. The Log Analyst, 35(3), 38-62.
23. PU, Z. W. & FANG, J. H. 1993. Permeability estimation from log-derived porosity: part 1: via fuzzy linear regression. GSA 42nd Annual Southeast Section Meeting, Tallahassee, Florida, Program Abstracts 25(4), 63, Geological Society of America, Boulder, Colorado.
24. SANER, S., KISSAMI, M. & AL-NUFAILI, S. 1993. Estimation of permeability from well logs using resistivity and saturation data. SPE Paper 26277, Society of Petroleum Engineers, Richardson, Texas.
25. THOMAS, D. C. & PUGH, V. J. 1989. A statistical analysis of the accuracy and reproducibility of standard core analysis. The Log Analyst, 30(2), 71-77.
26. WENDT, W. A., SAKURAI, S. & NELSON, P. H. 1986. Permeability prediction from well logs using multiple regression. In: LAKE, L. W. & CARROLL, H. B. JR. (eds) Reservoir Characterization. Academic Press, Orlando, Florida, 181-221.
27. WORTHINGTON, P. F. 1983. The relationship of electrical resistivity to intergranular permeability in reservoir rocks. Transactions SPWLA 24th Annual Logging Symposium 2, RR1-16, Society of Professional Well Log Analysts, Houston, Texas.
28. _1986. The relationship of aquifer petrophysics to hydrocarbon evaluation. Quarterly Journal of Engineering Geology, 19, 97-107.
29. _1994. Effective integration of core and log data. Marine and Petroleum Geology, 11, 457-466.
30. _1995. Estimation of intergranular permeability from well logs. Dialog, 3(3), 7-10.
31. YAO, C. Y. & HOLDITCH, S. A. 1993. Estimating permeability profiles using core and log data. SPE Paper 26921, Society of Petroleum Engineers, Richardson, Texas.