-
Aliyev E., Saidian M., Prasad M., Russell B., 2016. Rock typing of tight gas sands. A case study in Lance and Mesaverde formations from Jonah field. Journal of Natural Gas Science and Engineering, 33:1260–1270. DOI:10.1016/j.jngse.2015.12.045.
-
Amaefule J.O., Altunbay M., Tiab D., Karsey D.G., Keelan D., 1993. Enhanced Reservoir Description: Using Core and Log Data to Identify Hydraulic (Flow) Units and Predict Permeability in Uncored Intervals/Wells. Society of Petroleum Engineers. DOI: SPE-26436-MS.
-
Archie G.E., 1950. Introduction to Petrophysics of Reservoir Rocks. AAPG Bulletin, 34: 943–961. http://archives.datapages.com/data/bulletns/1949-52/data/pg/0034/0005/0900/0943.htm?doi=10.1306%2F3D933F62-16B1-11D7-8645000102C1865D (accessed: October 2019).
-
Brown A.A., 2015. Interpreting Permeability from Mercury Injection Capillary Pressure Data: AAPG Annual Convention and Exhibition, Denver, Colorado, 31 May–3 June 2015, 41660: 3–5.
-
Comisky J.T., Newsham K., Rushing J.A., Blasingame T.A., 2007. A Comparative Study of Capillary-Pressure-Based Empirical Models for Estimating Absolute Permeability in Tight Gas Sands: Society of Petroleum Engineers. DOI:10.2118/110050-MS.
-
Dolson J., 2016. Understanding oil and gas shows and seals in the search for hydrocarbons. Springer, 1–486. DOI: 10.1007/978-3-319-29710-1.
-
Guise P., Grattoni C., Fisher Q.J., Schiffer A., 2017. Stress Sensitivity of Mercury. International Symposium of the Society of Core Analysts, Vienna, Austria, 27–30 August 2017, 1–12.
-
Hartigan J.A., Wong M.A., 1979. Algorithm AS 136: A K-Means Clustering Algorithm. https://www.labri.fr/perso/bpinaud/userfiles/downloads/hartigan_1979_kmeans.pdf (accessed: May 2019).
-
Jones S.C., 1997. A Technique for Faster Pulse-Decay Permeability Measurements in Tight Rocks. SPE Formation Evaluation, 12:19–26. DOI: 10.2118/28450-PA.
-
Katz A.J., Thompson A.H., 1987. Prediction of Rock Electrical Conductivity from Mercury Injection Measurements. Journal of Geophysical Research, 92: 599–607.