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Evaluation of mineral composition and petrophysical parameters by the integration of core analysis data and wireline well log data: the Carpathian Foredeep case study

Published online by Cambridge University Press:  09 July 2018

T. Zorski ,
A. Ossowski ,
J. Środoń  and
T. Kawiak
T. Zorski*
Affiliation:
AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, al. Mickiewicza 30, 30-059 Kraków, Poland
A. Ossowski
Affiliation:
AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, al. Mickiewicza 30, 30-059 Kraków, Poland
J. Środoń
Affiliation:
Institute of Geological Sciences PAN, Senacka 1, 31-002 Kraków, Poland
T. Kawiak
Affiliation:
Institute of Geological Sciences PAN, Senacka 1, 31-002 Kraków, Poland
*
*E-mail: zorski@geol.agh.edu.pl
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Abstract

Knowledge of mineral composition is helpful in the interpretation of well-logging data, where the hydrocarbon saturation is expected as the final result.It is calculated from the electric resistivity, cation exchange capacity (CEC) and porosity.Porosity is calculated from the bulk density, which is measured directly in the well, and the matrix (mineralogical, grain) density, which can be calculated precisely only when the mineral composition is known.

In the shale-sand formations, which are the subject of this study, the rock matrix can conduct electric current.The Waxman–Smits formula is applied to calculate the water saturation of such rocks.This formula combines rock porosity, water saturation, water resistivity and the CEC with the total rock resistivity measured in the well.CEC is introduced to this formula as the parameter determining the shale ability to conduct electricity.Typically, CEC is controlled by the smectite content of the rock.

In order to evaluate the input data needed in the log interpretation the extended mineralogical (quantitative mineral composition, CEC) and chemical (major, trace and REE) analyses were made for over 200 core samples obtained from four gas fields in the Miocene formation of the Carpathian Foredeep.The most important clay component: the sum of mixed-layer illite-smectite and discrete illite has been quantified.The detailed recognition of clay minerals allowed for constraining the density-neutron cross-plot, which is a well log data interpretation technique for the determination of both porosity and shale content in shale-sand formations.

The statistical multivariate analysis of all data helped to set up a comprehensive petrophysical model.A reliable correlation (r2 = 0.96) of the thermal neutron absorption cross-section (Σama) and the total natural radioactivity (GR) with CEC was established.Such good correlation allows for a continuous on-line CEC determination and therefore a reliable application of the Waxman-Smits water saturation model.Experimental equations with similar level of correlation were established for quartz, clay and carbonate contents, allowing the calculation of matrix density, required in the porosity calculation.

The high correlation of Σama with CEC reflects the presence of boron in the illite-smectite clays.

Keywords

CECillite-smectitenatural radioactivityneutron absorption cross-sectionnuclear properties of shale-sand rockspetrophysical modelsthin bedded shale-sand formations
Type
Research Papers
Information
Clay Minerals , Volume 46 , Issue 1 , March 2011 , pp. 25 - 45
Copyright
Copyright © The Mineralogical Society of Great Britain and Ireland 2011

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References

Allen, D.F. (1984) Laminated sand analysis. SPWLA 25th Annual Logging Symposium, June 10–13.Google Scholar
Bardon, C., Bieber, M.T, Cuiec, L., Jacquin, C., Courbot, A., Deneuville, G., Simon, J.M., Voirin, J.M., Espy, M., Nectoux, A. & Pel l e r in, A. (1983) Recommandations pour la détermination experérimentale de la capacité d’échange de cations des milieux argileux. Revue de l’ Institut Francais du Pétrole, 38, 621–626.Google Scholar
Basu, I., Machin, N., Tyagi, A., Saxena, K., Altman, R., Mathew, A. & Rajesh, K. (2007) Enhanced reservoir characterization in a deep water turbidite system using borehole images and spectroscopy logs. SPWLA 48th Annual Logging Symposium, June 3–6.Google Scholar
Bateman, R.M. (1990) Thin bed analysis with conventional log suites. SPWLA 31st Annual Logging Symposium, June 24–27.Google Scholar
Darling, H., Scott, H. & Toufaily, A.(1997) Application of an epithermal neutron measurement in formation evaluation. SPWLA 38th Annual Logging Symposium, June 15-18.Google Scholar
Drabina, A. & Zorski, T.(2004) Geophysical neutron logging tool NNTE for measurements of porosity and rock matrix Sa - numerical simulations. Proceedings of enlargement workshop on Neutron Measurements, Evaluations and Applications (NEMEA-2), 20-23 October 2004, Bucharest, Romania.European Commission, Directorate - General Joint Research Centre Institute for Reference Materials and Measurements. Google Scholar
Drozdowicz, K. & Krynicka, E.(1995) Thermal neutron diffusion parameters in homogeneous mixtures. Report INP No.1694/PN.The H.Niewodniczański Institute of Nuclear Physics, Krakow, Poland. Ellis, D.V. & Singer, J.M. (2007) Well Logging for Earth Scientists. Springer, 692 pp.Google Scholar
Fang, J.H., Karr, C.L. & Stanley, D.A. (1996) Transformation of geochemical log data to mineralogy using genetic algorithms. The Log Analyst, March-April.Google Scholar
Freedman, R. & Ausburn, B.E.(1985) The Waxman- Smits equation for shaly sands: I Simple methods of solution; II Error analysis. The Log Analyst, March-April.Google Scholar
Gaweł, A. & Kowalska, S.(2004) The mass absorption coefficients of the Miocene rocks from Carpathian Foredeep (in Polish). Conference Geopetrol 2004: Core analysis and wireline well data 43 Effective Technologies of Exploration and Exploitation of Hydrocarbon Resources. Transactions No.130 of Oil and Gas Institute, Kraków, Poland.Google Scholar
Gomaa, N., Herron, M., Ramamoorthy, R., Tilke, P. & Allen, D.(2006) Case history of automated evaluation of mineralogy and porosity in complex carbonates. SPWLA 47th Annual Logging Symposium, June 4–7.Google Scholar
Harvey, P.K. & Lovell, M.A. (1992) Downhole mineralogy logs: mineral inversion methods and the problem of compositional colinearity.Geological Applications of Wireline Logs II, Geological Society Special Publication no.66.Google Scholar
Herron, M.M. (1986) Mineralogy from geochemical well logging. Clays and Clay Minerals, 34, 204-213. Herron M.M. & Herron S.L. (1990) Geological application of geochemical well logging. In: Geological Applications of Wireline Logs (Hur st, A., Lovell, M.A. & Morton, A.C., editors).The Geological Society, London.Google Scholar
Herron, M.M. & Matteson, A. (1993) Elemental composition and nuclear parameters of some common sedimentary minerals. Nuclear Geophysics, 7, 383–406.Google Scholar
Herron, S.L. & Herron, M.M. (1996) Quantitative lithology: an application for open and cased hole spectroscopy. SPWLA 37th Annual Logging Symposium, June 16–19.Google Scholar
Hertzog, R., Colson, L., Seeman, B., O’Brien, M., Scott, H. & McKeon, D.(1987) Geochemical logging with spectrometry tools. 62nd Annual Technical Conference and Exhibition of the Petroleum Engineers, Dallas TX, September 27–30, Paper SPE 16792.Google Scholar
Kawiak, T., Ossowski, A., Paszkowski, M., Ś rodoń, J. & Zorski, T.(1999) Mineral composition and nuclear parameters of Miocene rocks in the Carpathian Foredeep. Transactions of Conference: Geology - Geophysics - Geochemistry: Integration Techniques for Hydrocarbon Exploration.. Geological Office ‘Geonafta’ (Polish Oil and Gas Company), Warszawa, 18th May (in Polish).Google Scholar
Kopeć, M., Lenda, A. & Zorski, T. (1994) Determination of API equivalent for natural gamma ray logging tools. Quarterly AGH, Geology, 20/2, 161–167 (in Polish).Google Scholar
Kotchounian, V.Y. (1997) Revisiting the neutron capture equation: a new rock perspective vs.the traditional fluid perspective. SPWLA 38th Annual Logging Symposium, June 15–18.Google Scholar
Kreft, A., Bolewski, A. Jr. & Ciechanowski, M. (1989) An isotopic neutron source method for measuring the thermal neutron cross section of rocks using small samples. Nuclear Geophysics, 3, 367–372.Google Scholar
La Vigne, J., Herron, M. & Hertzog, R. (1994) Density-neutron interpretation in shaly sands. SPWLA 35th Annual Logging Symposium, June 19–22.Google Scholar
Lofts, J.C., Harvey, P.K. & Lovell, M.A. (1995) The characterisation of reservoir rocks using nuclear logging tools: evaluation of mineral transform techniques in the laboratory and log environments. The Log Analyst, March-April.Google Scholar
Mystkowski, K., Ś rodoń, J. & McCarty, D.K.(2002) Application of evolutionary programming to automatic XRD quantitative analysis of clay-bearing rocks. The Clay Minerals Society 39th Annual Meeting, Abstracts with Programs.Bou lder, Colorado, USA.Google Scholar
Mystkowski, K., Środoń, J., Ossowski, A. & Zorski, T. (2004) Comparison of neural networks and multivariate regression efficiency in laboratory data analysis applied to mineralogy and CEC determination using nuclear log data - Miocene gas formation of Carpathian Foredeep, wells J4 and ChD3. Conference Geopetrol 2004: Effective Technologies of Exploration and Exploitation of Hydrocarbon Resources. Transactions no.130 of the Oil and Gas Institute, Kraków (in Polish).Google Scholar
Omotoso, O., McCarty, D.K., Hillier, S. & Kleeberg, R. (2006) Some successful approaches to quantitative mineral analysis as revealed by the 3rd Reynolds Cup contest. Clays and Clay Minerals, 54, 748–760.CrossRefGoogle Scholar
Orsini, L. & Remy, J-C. (1976) Utilisation du chlorure de cobaltihexammine pour la determination simultanee de la capacite d’echange et des bases echangeables des sols. Science du Sol, 4, 269–275.Google Scholar
Paszkowski, M. & Ossowski, A.(2004) Size particle classification for rock samples from J4 and ChD3 boreholes. Conference Geopetrol 2004: Effective Technologies of Exploration and Exploitation of Hydrocarbon Resources. Transactions no.130 of the Oil and Gas Institute, Kraków (in Polish).Google Scholar
Poupon, A., Clavier, C., Dumanoir, J., Gaymard, R. & Misk, A.(1970) Log analysis of sand-shale sequences: a systematic approach. Journal of Petroleum Technology, 22, 867–881.Google Scholar
Ruhovetz, N.( 1990) A log analysis technique for evaluating laminated reservoirs in the Gulf Coast area. The Log Analyst, September-October. Schlumberger (1974) Log Interpretation Volume II - Application, Schlumberger Ltd., New York.Google Scholar
Schlumberger, (1991a) Log Interpretation Principles/ Applications http://www.slb.com/content/services/resources/books/lipa.asp Google Scholar
Schlumberger, (1991b) Log Interpretation Charts http://www.slb.com/content/services/resources/books/ log-charts/index.asp Shepard F.P. (1973) Submarine Geology.Harper and Bross.New York., USA.Google Scholar
Spivack, A.J., Palmer, M.R. & Edmond, J.M. (1987) The sedimentary cycle of the boron isotopes. Geochimica et Cosmochimica Acta, 51, 1939–1949. 44 T. Zorski et al. ŚGoogle Scholar
rodoń, J.(2009) Quantification of illite and smectite and their layer charges in sandstones and shales from shallow burial depth. Clay Minerals, 44, 421–434. ŚGoogle Scholar
rodoń, J. & McCarty, D.K.(2008) Surface area and layer charge of smectite from CEC and EGME/H2O retention measurements. Clays and Clay Minerals, 56, 155–174. ŚGoogle Scholar
rodoń, J., Drits, V.A., McCarty, D.K., Hsieh, J.C.C. & Eberl, D.D. (2001) Quantitative XRD analysis of clay-rich rocks from random preparations. Clays and Clay Minerals, 49, 514-528. ŚGoogle Scholar
Środoń, J., Mystkowski, K., McCarty, D.K. & Drits, V.A. (2006) BESTMIN: a computer program for refining the quantities and the chemical composition of clays and other mineral components of fine-grained rocks. International Conference ‘Clays and Clay Minerals’, Pushchino, Russia, Abstracts, p.41.Google Scholar
rodoń, J., Zeelmaekers, E. & Derkowski, A. (2009) The charge of component layers of illite-smectite in bentonites and the nature of end-member illite. Clays and Clay Minerals, 57, 650–672.Google Scholar
Worthington, P.F. (1985) The evolution of shaly-sand concepts in reservoir evaluation. Log Analyst, Jan-Feb. Woźnicka U.(2000) Thermal neutron absorption cross section and clay mineral content for Miocene Carpathian samples. Applied Radiation and Isotopes, 53, 1023–1030.Google Scholar
Woźnicka, U., Cywicka-Jakiel, T., Drabina, A., Dworak, D., Tracz, G., Drozdowicz, K., Zorski, T., Ossowski, A., Środoń, J., Kawiak, T., Bakowska, D., Zielińska, M. & Zalewska, J.(2007) Construction of geochemical -mineralogical models using data delivered by advanced nuclear logs. Raport No 2008/AP, Institute of Nuclear Physics, Polish Academy of Science, Kraków, http://www.ifj.edu.pl/publ/reports/2007 (in Polish).Google Scholar
You, C.F., Spivack, A.J., Gieskes, J.M. Rosenbauer, R & Bischoff, J.L. (1995) Experimental study of boron geochemistry: implications for fluid processes in subduction zones. Geochimica et Cosmochimica Acta, 59, 2435–2442.Google Scholar
Zalewska, J., Klaja, J., Ga˛sior, I. & Cebulski, D.(2008) Laboratory measurements of geophysical parameters of reservoir rocks from Dzików and Nowosielec region (in Polish). Conference Geopetrol 2008: Science, Technique and Techno.(1991) Analysis of the correlation between chosen rock sample properties for the application in natural spectral gamma ray logs interpretation in some Carpathian flysch formations. Transactions of 5th National Technlogy in Developing Search and Extraction of Hydrocarbons on Land and Sea. Transactions no.150 of the Oil and Gas Institute, Kraków, Poland.Google Scholar
Zorski, T.(1998) Vertical response improvement of the neutron and density logs - deconvolution and matching procedures verified by calibration measurements in thin layered models. Proceedings of the International Conference ‘Nuclear Geophysics 97’, Kraków, 20-23 October 1997 (U.Wo źnicka, editor). Publications of the Institute of Geophysics, Polish Academy of Sciences, M-21 (309), Warszawa.Google Scholar
Zorski, T.(2004) Methodology of well log interpretation in thin-bedded gas-bearing formations in Carpathian Foredeep. Quarterly AGH, Geology, 30, 275–298 (in Polish).Google Scholar
Zorski, T.(2009) Recent improvements in interpretation methodology applied in GEOwin SATUN application. Quarterly AGH, Geology, 35, 549–557.Google Scholar
Zorski, T. & Massalski, T.(1997) Empirical and semiempirical approach to the comprehensive calibration of nuclear logging tools. 59th EAGE Conference and Technical Exhibition, Geneva, Switzerland, 26-30 May, Extended Abstracts Book, 1, 172.Google Scholar
Zorski, T. & Ossowski|Aical Well Logging Conference, 1: Information Report of Geofizyka Toruń Geophysical Company no.9 (in Polish).Google Scholar