I. Karpenko1, Postgraduate Student, E-mail: sharanskiy@gmail.com,

O. Karpenko1, Dr. Sci. (Geol.), Prof., E-mail: alexbrig@inbox.ru,

G. Bashkirov2, Cand. Sci. (Geol.-Min.), Senior Researcher, E-mail: magnum669@gmail.com



1Institute of Geology, Taras Schevchenko National University of Kyiv, 90 Vasylkivska Str., Kyiv, 03022 Ukraine,

2State Enterprise "Naukanaftogaz" NAK "Naftogaz of Ukraine", 8 Kyivska Str., Vyshneve, 08132 Ukraine

The topicality of research into the physical properties of organic matter in rocks is largely associated with the prospects of a significant increase in shale gas production. Geophysical diagnostics, including assessment of kerogen content in shale-gas deposits, requires a thorough petrophysical analysis. Based on the recently published results of research into the physical properties of organic matter from the discovered US shale-gas fields, we have derived petrophysical relationships for quantitative calculations of kerogen content using well-logging data. The earlier developed system of interpretational equations contains petrophysical constants defining the individual characteristics of solid organic matter in rocks. Mathematical models have been built to relate the interval time of the longitudinal acoustic wave and specific hydrogen content to the density and catagenetic maturity of organic matter. There have been suggested equations of the identified patterns of change in the value of vitrinite reflectance with the increasing depth of the deposits for various areas of the Dnieper-Donetsk Basin. The research results also include suggestions on specifying the petrophysical characteristics of organic matter taking into account its maturity and specific oil and gas strata or areas.

Keywords: shale gas, rock, petrophysical characteristics, kerogen, specific hydrogen content, density.


  1. Heidari Z, Torres-Verdin C., Preeg W., (2011). Quantitative method for estimating total organic carbon and porosity, and for diagnosing mineral constituents from well logs in shale-gas formations). SPWLA 52nd Annual Logging Symposium, Colorado Springs, USA, May 14-18, 1-15.

  2. Heidari Z., (2011). Estimation of Static and Dynamic Petrophysical Properties from Well Log sin Multi-Layer Formations. Dissertation by M.Sc., Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,The University of Texas at Austin, August, 237 .

  3. Mendelson J.D., Toksoz M.N., (1985). Source rock characterization using multivariate analysis of log data. SPWLA 26th Annual Logging Symposium, p. UU.

  4. Passey Q., Creaney S., Kulla J., Moretti F., Stroud J., (1990). A practical model for organic richness from porosity and resistivity logs. AAPG Bulletin, December, 74, 1777-1794.

  5. Passey Q., Bohacs R., Klimentidis W., Sinha S., (2011). My source rock is now my shale-gas reservoir Geologic and Petrophysical Characterization of Shale-Gas Reservoirs. AAPG Annual convention, April 10-13, Houston, Texas, Search and Discovery Article # 90124, Web accessed 22 June 2012, http://www.searchanddiscovery.com/documents/2012/80231passey/ndx_passey.pdf.

  6. Carpentier ., Bessereau G., Huc A.Y., (1989). Diagraphies etroches meres estimation desteneurs en carbone organique parlamet hode Carbolog. Revuede L'Institut Francais du Petrole, 44, 6, 699-719.

  7. Ciechanowska M., Kusmierek J., (1992). Ocena potencjalu macierzystosci perspektywicznych formacji ropogazonosnych metodami geofizyki wiertniczej. Nafta-Gaz, NR 11-12, 269-277.

  8. Carpienter D., Alain-Yves Y., (1992). Method for estimating the organic matter content of sedimentary rocks from data recorded in wells by well-logging probes. Patent 5, 126,939. – Int. Cl. GO1V 1/00; G06F 15/48. - 30.06.1992.

  9. Passey Q.R., Dahlberg, K.E., Sullivan K.B., Yin H., Brackett R.A., Xiao Y.H., Guzman-Garcia A.G., (2006). Petrophysical Evaluation of Hydrocarbon Pore-Thickness in Thinly Bedded Clastic Reservoirs. AAPG Archie Series, 1, 210 p.