11th Biennial International Conference & Exposition. Keywords

Similar documents
Verification of Archie Constants Using Special Core Analysis and Resistivity Porosity Cross Plot Using Picket Plot Method

INVESTIGATION ON THE EFFECT OF STRESS ON CEMENTATION FACTOR OF IRANIAN CARBONATE OIL RESERVOIR ROCKS

NEW SATURATION FUNCTION FOR TIGHT CARBONATES USING ROCK ELECTRICAL PROPERTIES AT RESERVOIR CONDITIONS

PATTERN RECOGNITION IN A DIGITAL AGE: A GAMEBOARD APPROACH TO DETERMINING PETROPHYSICAL PARAMETERS

Variety of Cementation Factor between Dolomite and Quartzite Reservoir

Comparison of Classical Archie s Equation with Indonesian Equation and Use of Crossplots in Formation Evaluation: - A case study

Saturation Modelling: Using The Waxman- Smits Model/Equation In Saturation Determination In Dispersed Shaly Sands

INFERRING RELATIVE PERMEABILITY FROM RESISTIVITY WELL LOGGING

A numerical technique for an accurate determination of formation resistivity factor using F R -R O overlays method

DETERMINATION OF ROCK QUALITY IN SANDSTONE CORE PLUG SAMPLES USING NMR Pedro Romero 1, Gabriela Bruzual 2, Ovidio Suárez 2

IOP Conference Series: Earth and Environmental Science. Related content PAPER OPEN ACCESS

Evaluation of Low Resistivity Laminated Shaly Sand Reservoirs

Correlation Between Resistivity Index, Capillary Pressure and Relative Permeability

Log Responses of Basement Rocks in Mattur-Pundi Areas, Tanjore Sub Basin, Cauvery Basin, India.

DETERMINING THE SATURATION EXPONENT BASED ON NMR PORE STRUCTURE INFORMATION

Determining the Relationship between Resistivity, Water and Hydrocarbon Saturation of Rock Formation Using Composite Well Logs

water L v i Chapter 4 Saturation

Abstract. Introduction to Area

Lalaji Yadav* and Troyee Das Reliance Industries Limited, Navi Mumbai, , India

Estimation of Water Saturation Using a Modeled Equation and Archie s Equation from Wire-Line Logs, Niger Delta Nigeria

THE UNIVERSITY OF TRINIDAD & TOBAGO

GEOPHYSICAL AND WELL CORELLATION ANALYSIS OF OGO FIELD: A CASE STUDY IN NIGER DELTA BASIN OF NIGERIA

Spectrometry and Reservoir Characteristics of Rudeis Formation in Belayim Marine Oil Field, Gulf of Suez, Egypt

Analysis of Gravity-Magnetic signature of Ramnad sub-basin for estimation of basement depth

ACCURACY ANALYSIS OF ARCHIE PARAMETERS AND RELEVANT EFFECT ON WATER SATURATION VALUES

Petrophysical Charaterization of the Kwale Field Reservoir Sands (OML 60) from Wire-line Logs, Niger Delta, Nigeria. EKINE, A. S.

Formation evaluation of an onshore appraisal well KG-5, green field, Niger Delta, Nigeria

Mixed Reservoir Wetting in Unconventional Reservoirs and Interpretation of Porosity/Resistivity Cross Plots, Derived From Triple-combo Log Data

Australian Journal of Basic and Applied Sciences, 5(11): , 2011 ISSN

Poisson's Ration, Deep Resistivity and Water Saturation Relationships for Shaly Sand Reservoir, SE Sirt, Murzuq and Gadames Basins, Libya (Case study)

Petrophysical Rock Typing: Enhanced Permeability Prediction and Reservoir Descriptions*

Permeability Modelling: Problems and Limitations in a Multi-Layered Carbonate Reservoir

N121: Modern Petrophysical Well Log Interpretation

PETROPHYSICAL EVALUATION CORE COPYRIGHT. Resistivity, Archie, and Saturation Determination Part 1. By the end of this lesson, you will be able to:

RELATIONSHIP BETWEEN CAPILLARY PRESSURE AND RESISTIVITY INDEX

RESERVOIR ROCK TYPING USING NMR & CENTRIFUGE

Well Logging. Salam Al Rbeawi 2011

Petrographic, Well Logging and Well Log Analysis of a Wellbore at Umueze in Orlu, Southeastern Nigeria

M. Ghorab, Mohmed A.M. Ramadan and A.Z. Nouh. Egyptian Petroleum Research Institute, Cairo, Egypt.

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May ISSN

Permeability Prediction in Carbonate Reservoir Rock Using FZI

THE IMPACT OF HETEROGENEITY AND MULTI-SCALE MEASUREMENTS ON RESERVOIR CHARACTERIZATION AND STOOIP ESTIMATIONS

Determination of pore size distribution profile along wellbore: using repeat formation tester

Reservoir Description using Hydraulic Flow Unit and Petrophysical Rock Type of PMT Carbonate Early Miocene of Baturaja Formation, South Sumatra Basin*

Estimation of Pore Pressure from Well logs: A theoretical analysis and Case Study from an Offshore Basin, North Sea

UNIVERSITY OF CALGARY. Reservoir Volume for Tight and Shale Reservoirs. Guang Yu A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES

Use of Fractal Geometry for Determination of Pore Scale Rock Heterogeneity

EXTENDED ABSTRACT EVALUATING THE SHALY SAND OIL RESERVOIRS OF EL TORDILLO FIELD, ARGENTINA, USING MAGNETIC RESONANCE LOGS

Egyptian Journal of Petroleum

Study on the Four- property Relationship of Reservoirs in YK Area of Ganguyi Oilfield

FORMATION EVALUATION OF SIRP FIELD USING WIRELINE LOGS IN WESTERN DEPOBELT OF NIGER DELTA

Module for: Resistivity Theory (adapted/modified from lectures in PETE 321 (Jensen/Ayers))

PETROPHYSICAL EVALUATION CORE COPYRIGHT. Petrophysical Evaluation Approach and Shaly Sands Evaluation. By the end of this lesson, you will be able to:

Reservoir Characterization of Early Jurassic Formations in Selected Wells in the Duhok Governorate, Iraqi Kurdistan Region

Pre Stack Imaging To Delineate A New Hydrocarbon Play A Case History

Researcher 2016;8(7)

Oil and Natural Gas Corporation Limited, 4th Floor GEOPIC, Dehradun , Uttarakhand

1996 SCA Conference Paper Number 9641 ABSTRACT

Evaluation of Gas Reservoir using Wireline Log Interpretation: Assam-Arakan Basin, India.

Petroleum System and Play Types of Synrift Sequences, Ramand Subbasin, Cauvery Basin

Formation Evaluation of an Onshore Oil Field, Niger Delta Nigeria.

Formation Evaluation of the Jurassic Rocks in Shams Field, North Western Desert, Egypt.

Tu E Understanding Net Pay in Tight Gas Sands - A Case Study from the Lower Saxony Basin, NW- Germany

IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 9, September 2015.

Integrated well log and 3-D seismic data interpretation for the Kakinada area of KG PG offshore basin

Reservoir Rock Properties COPYRIGHT. Sources and Seals Porosity and Permeability. This section will cover the following learning objectives:

Reservoir Evaluation of Abu Roash Formation by Using Well Log Data at East of Beni-Zouf Area, Egypt

LITTLE ABOUT BASIC PETROPHYSICS

Basics of Geophysical Well Logs_Porosity

A New Cementation Factor Correlation in Carbonate Parts of Oil Fields in South-West Iran

GEOLOGICAL LOG INTERPRETATION TUTORIAL

Tom BLASINGAME Texas A&M U. Slide 1

Formation Evaluation of Unconventional Basaltic Deccan Trap Basement Reservoir of Gamij Field, Cambay Basin, India

A new processing for improving permeability prediction of hydraulic flow units, Nubian Sandstone, Eastern Desert, Egypt

Geological Overview of the Niobrara Chalk Natural Gas Play

Estimation of Saturation Exponent from Nuclear Magnetic Resonance (NMR) Logs in Low Permeability Reservoirs

New York Science Journal 2017;10(7)

New Correlations for Porosity Exponent in Carbonate Reservoirs of Iranian Oil Fields in Zagros Basin

THE USES OF SURFACE AREA DATA OBTAINED ON RESERVOIR CORE SAMPLES

Petroleum Engineering 620 Fluid Flow in Petroleum Reservoirs Petrophysics Lecture 6 Electrical Properties of Reservoir Rocks

Flow Units in Conventional and Unconventional Petroleum Reservoirs

Prestack Depth Migration - An ultimate aspiration for subsurface imaging in geologically complex area.

The role of capillary pressure curves in reservoir simulation studies.

IN SEARCH OF BYPASSED GAS PAYS IN THE MACUSPANA BASIN WELLS

UPSCALING FROM CORE DATA TO PRODUCTION: CLOSING THE CYCLE. A CASE STUDY IN THE SANTA BARBARA AND PIRITAL FIELDS, EASTERN VENEZUELA BASIN

1: Research Institute of Petroleum Industry, RIPI, Iran, 2: STATOIL ASA, Norway,

Analysis of Micro-fractures in Coal for Coal Bed Methane Exploitation in Jharia Coal Field

Hydrocarbon Volumetric Analysis Using Seismic and Borehole Data over Umoru Field, Niger Delta-Nigeria

Some Aspects on Well Log Interpretation of Lithological Analysis of Shaly Sand*

A Fast Method For Estimating Shear Wave Velocity By Using Neural Network

Core-Log Integrated Formation Evaluation and Application of Flow Unit Concept at Rudies-Sidri Field, Gulf of Suez, Egypt.

The SPE Foundation through member donations and a contribution from Offshore Europe

REVIEW OF THE WINLAND R35 METHOD FOR NET PAY DEFINITION AND ITS APPLICATION IN LOW PERMEABILITY SANDS

SATURATION-HEIGHT AND INVASION CONSISTENT HYDRAULIC ROCK TYPING USING MULTI-WELL CONVENTIONAL LOGS

Petrophysics. Theory and Practice of Measuring. Properties. Reservoir Rock and Fluid Transport. Fourth Edition. Djebbar Tiab. Donaldson. Erie C.

This paper was prepared for presentation at the International Symposium of the Society of Core Analysts held in Toronto, Canada, August 2005

Application of advance tools for reservoir characterization- EEI & Poisson s impedance: A Case Study

FORMATION EVALUATION PETE 321

ABSTRACT. J.M. Hawkins, Petromation, Houston R.A. Skopec, Petrophysical Applications International, Inc., Houston

RESERVOIR EVALUATION OF BAHARIYA FORMATION IN TUT OIL FIELD, NORTH WESTERN DESERT, EGYPT

Transcription:

Biswajit Choudhury, Mousumi Das* and Subrata Singha Department of Applied Geophysics, Indian School of Mines, Dhanbad biswa.zeng@gmail.com, sumi.asm@gmail.com Keywords Well logging, Pickett s plot, cross plot, porosity, permeability, capillary pressure, pore throat, height above free water table and bulk volume of water Summary Potential hydrocarbon bearing formations are identified from well log data from 3 wells in Cauvery Basin. The quick look interpretation technique has been used for identification of hydrocarbon bearing zone. The multimineral lithology such as: sandstone, limestone and dolomite exist in these formations. This work was dedicated to evaluate the reservoir characteristics of the Andimadam, Bhuvanagiri, Nannilam and Kamalapuram formations. Pickett s plot has been applied to investigate petrophysical parameters. These parameters include cementation factor, capillary pressure, pore throat aperture radii, height above the free water table and bulk volume of water. The cementation factor (m) varies from 1.33 to 1.83 in these formations whereas permeability varies from 0.1 to 300 md, capillary pressure varies from 10 to 400 psi, pore throat aperture radii varies from 0.25 to 8 µm and height above free water table 25 to 200 ft. Introduction Pickett s plot (resistivity vs. porosity) characterizes flow units in reservoirs (Martin et al., 1997, Aguilera and Aguilera, 2002). The technique has been utilized to estimate few petrophysical parameters from three wells namely, CKK, CPV, CKP of Cauvery basin (Figure 1). Sanyal and Ellithorpe (1978) and GreenGold (1986) demonstrated computation of cementation factor (m) from Pickett s plot. This paper is describing the uses of Pickett s plot for computation of petrophysical parameters such as water saturation, permeability, capillary pressure, pore throat aperture radii and height above free water table and bulk volume of water (Aguilera, 2001). This technique of Pickett s plot modeling enables us to visualise the abovementioned parameters on a single plot. Study area The Cauvery basin is a pericratonic rift basin, which came in to existence due to Gondwanaland fragmentation during drifting of India-Srilanka landmass system in Late Jurassic/Early Cretaceous. The basin exhibits a highly differentiated nature in to a number of parallel horsts & grabens trending in a general NE-SW direction, typical of rifting. Figure 1: The tectonic framework of Cauvery basin and well location The initial rifting caused the formation of NE-SW horstgraben feature, subsequent drifting and rotation caused the development of NE-SW cross faults. The generalized stratigraphy of the basin Age varying from Pre Cambrian to Miocene is shown in figure 2 (Figure 2). The well log correlation through three wells is shown in (Figure 3). Methodology Hydrocarbon bearing zones in Andimadam formation, Sattapadi Shale, Bhuvanagiri formation, Kudavasal Shale, Nannilam formation, Portonovo Shale, Kamalapuram formation Karaikal Shale and younger formations are

Well log Analysis and Reservoir Characterization Using Pickett s Plot Modeling identified from three wells penetrating sediments of age Lower Cretaceous to Middle Miocene. Figure 2: Petroleum System and Generalized Stratigraphy of Cauvery basin (Courtesy DGH) Figure 4: Well log panel of the well CKK (1946-2070m) showing different hydrocarbon bearing formations Figure 3: Well log correlation using Gamma ray and Resistivity log of three wells CPV, CKP, CKK These zones are characterized by resistivity varying from 0.8 to 500 ohm-m, neutron-density cross over. The well log responses and neutron-density crossplots for water bearing and hydrocarbon bearing zones are illustrated through figure 4 and 5 for a well CKK (Figures 4 and 5). The hydrocarbon bearing zones are noticed from neutrondensity overlay and Deep, Medium and Shallow resistivity logs. Table 1 shows the evaluation of hydrocarbon bearing zones from three wells. For estimation of petrophysical constant like m and reservoir parameters such as permeability, capillary pressure, pore throat aperture radii, height above free water table and bulk volume of water, the procedure is illustrated in the flowchart (Figure 6). Figure 5: Neutron-Density cross plot of the well CKK (19462070m)

Table 1: Estimation of petrophysical parameters and m from three wells in Cauvery basin Wells Hydrocarbon bearing zones Depth interval (m) Resistivity (Ohm-m) RS RD Petrophysical Parameter Vsh (%) Effective porosity (%) Saturation (%) 1649.5-1651.5 2.5 6 0.0 24 60 CPV 3090.2-3091.5 8 25 12 10 50 3279.5-3281 10 40 0.0 28 20 1.5 3336.6-3340.8 12 30 10 15 30 CKP 1891-1893 0.8 2 30 20 55 1.33 1957-1965 6 110 0.0 23 11 1972-1973 3 150 0.0 22 13 1974-1985 5 500 0.0 23 12 1985-1987 6 20 0.0 23 35 CKK 1992-2004 10 400 0.0 21 15 2015-2034 6 400 0.0 20 20 1.83 2044-2048 3 18 0.0 25 30 2051-2053 2 8 0.0 25 30 2065-2069 2 5 15 20 48 m Resistivity (Rt) = aփt -m RwI = aփt -m RwSw (4) where Rw is the formation water resistivity. By using Logarithm with base 10 the equation (4) (Pickett, 1966), leads Log Rt = -m log Փt + log (arw) + logi (5) This is an equation of straight line on log-log paper. The line has a slope of (-m) which is determined manually. An example from a well CKK for Bhuvanagiri formation is shown in figure 7. The intercept ((arw) is indicated in this figure with Փt =1. Water saturation lines varying from 25 to 100% are shown here. Figure 7: Pickett plot for the well CKK showing the water saturation lines and cementation factor Permeability Figure 6: Work Flow Chart for Pickett plot modelling Pickett s plot This plot is generated using Archie s formulae (Archie, 1942). By rearranging the Archie equation we get Water saturation (Sw) = I -1/n (1) Where I is the resistivity index and n is the saturation exponent. I = Rt /Ro = (FRw) (2) Formation factor (F) = aփt -m (3) where a is tortuosity, Փt = total porosity Equation (1) and (3) can be combined to yield The rocks ability to conduct fluids is termed as permeability (K) which depends on its effective porosity. The empirical equation in terms of irreducible water saturation (Swi) (Morries and Biggs, 1967), as follows, K 1/2 = 250Φt 3 / Swi (6) Swi is the irreducible water saturation The irreducible water saturation, in turn, can be solved by using the following equation Swi = Φt * Sw / Φeff (7) After incorporating into Equation (4) the formulae is obtained (Aguilera, 1990) Rt = aφt -3n-m Rw (250/K 1/2 ) -n (8) By taking logarithm on both sides log Rt = (-3n-m) log Φt + log [ arw (250/K 1/2 ) -n ] (9)

From equation (9), by plotting Rt vs Փt on log-log coordinates, the relation results in a straight line with a slope equal to (-3n-m) with a constant arw and Permeability. Since m=n, the slope equals (-4m). The intercept of straight line with 100% porosity gives arw(250/k 1/2 ) -n. The line of constant permeability equals to 0.01 to 100md is drawn by calculating Rt from equation (8). The line of constant parallel capillary pressure ranges from 10-800 psi shown in figure 9 (Figure 9). The point with the values of Rt and Փ t is plotted and from it, a straight line is drawn through this point with a positive slope. This straight corresponds to constant capillary pressure. Figure 9: Pickett plot incorporating formation permeability and capillary pressure for the well CKK Figure 8: Pickett plot incorporating formation permeability for the well CKK Capillary Pressure Capillary pressure is the difference in pressure between two immiscible fluids across a curved interface at equilibrium. From the empirical relationship capillary pressure (Pc) (Kown and Pickett, 1975) is incorporated as follows Pc = A / [K/1000] -B (10) [B=0.45(approx), A ranges from 151.35 to 22.91] A = 19.5 Sw 1.7 (11) [Sw is the water saturation in fraction] Inserting Equation (6) and (11) in Equation (10) (Augilera, 2001) we have, Pc = (Swi -0.8 * Φt -2.25 ) /0.929 (12) By solving equation (12) for Swi and inserting it in equation (4) this leads to, Rt = Φt -m+2.8125n (arw) [1.0961Pc -1.25 ] -n (13) Taking logarithm on both sides Log Rt = (-m+2.8125n) log Φt + Log [arw (1.0961*Pc -1.25 )] -n (14) Pore Throat Aperture Radii Washburn (1921) presented a technique for relating the mercury capillary pressure (Pc in dyne/cm 2 ) to the surface tension of mercury (σ in dyne/cm), contact angle of mercury in air (ϴ) and the pore aperture radius (r in µm).the Washburn equation is Pc=-2σ (cosθ)/r (15) If Pc will be pounds per square inch and pore throat radius in microns r= -2(0.147) σ (cosθ)/pc (16) Inserting equation (16) in equation (14) and taking logarithm on both sides log Rt = (-m+2.8125n) log Φt + {arw(1.0961 (-2(0.147) (σ (cosθ)/r) -1.25 } -n (17) If σ=480 dyne/cm θ=140 0 equation (17) reduces to log Rt = ( -m+2.8125n) logφt + {arw [ 1.0961( 108.1/r) -1.25 ] -n } (18) While pore size (Martin and et al., 1999) comprises megaports (>10 μm), macroports (10 2 μm), mesoports (2 0.5 μm), microports (0.5 0.25 μm) and nano (<0.25μm). Figure 10 shows Pickett s plot including parallel lines of

constant pore throat aperture radii that ranges from 4(macro) to 0.25(nano) in micrometer. Figure 10: Pickett plot incorporating formation permeability and pore throat aperture radii for the well CKK Height above the free water table Figure 11: Pickett plot incorporating formation permeability and height above free water table for the well CKK Since m equals n, the slope of (n m) is equal to zero, and the lines of constant BVW will be vertical lines. Calculation of the height above the free water table is done through the following equation: Pc = 0.433(ρw-ρh) h [-σ (cosθ)/ (σh cosθh)] (19) Where σh is the brine hydrocarbon surface tension. θh is the contact angle of the hydrocarbon in water. Inserting equation (19) in equation (14) leads to, log Rt = ( -m+2.8125n) logφt + log {arw [ 1.0961(0.433 (ρw ρh ) * h [-σ (cosθ)/ σhcosθh] -1.25 } -n (20) Figure showing parallel lines of constant height above the free water table that ranges from 50 to 500 ft. Bulk volume of water The product of formation s water saturation (Sw) and its porosity (Φt) is the bulk volume of water (BVW) (Buckles, 1965) and (Aguilera, 1990). BVW = Sw*Φt (21) Where BVW = Bulk volume of water Sw = water saturation of uninvaded zone Φt = total porosity Figure 12: Pickett plot incorporating formation permeability and bulk volume of water for the well CKK Table 1 lists the values of petrophysical parameters like effective porosity, volume of shale and m of three different well in Cauvery basin. Other parameters are explained in figures 7 to 12. Conclusions This work demonstrates the use of Pickett modeling for estimation of m, capillary pressure, permeability, pore throat aperture radii, height above free water table and bulk volume of water from a well. Hydrocarbon bearing zones have been identified from three wells. Thickness of 14 hydrocarbon bearing zones is varying from 1 to 15m. Pickett plot technique is found useful for computation of few petrophysical parameters such as capillary pressure,

permeability, pore throat aperture radii, height above the free water table and bulk volume of water from well log data in Cauvery basin. References Aguilera R., 1990, A new approach for analysis of the nuclear magnetic log, resistivity log combination, J. Can. Pet. Technol. 29 (1) 67 71. Aguilera R., 1990, Extension of Pickett plots for the analysis of shaly formation by well logs, The Log Analyst 31 (6) 304 313. Aguilera R., 2001, Incorporating capillary pressure, pore throat aperture radii, height above free-water table and Winland resistivity values on Pickett plots, AAPG Bull. 86 (4) 605 620. Aguilera R., Aguilera M. S., 2002, The integration of capillarypressuresand Pickett plots for determination of flow units and reservoir containers, SPE Reservoir Eval. Eng. 5 (6) 465 471. Archie G.E., 1942, The electrical resistivity logs as an aid in determining some reservoir characteristics, Trans. AIME 146 54 67. Buckles R. S., 1965, Correlating and averaging connate water saturation data, J. Can. Petrol. Technol. (5) 42 52. Doveton J. H., Guy W. J., Watney W. L., Bohling G. C., Ullah S., Adkins-Heljeson D., 1996, Log analysis of petrofacies and flow units with microcomputer spreadsheet software; Kansas Geological Survey, University of Kansas, Lawrence, Kansas. Morris R. L., Biggs W. P., 1967, Using log-derived values of water saturation and porosity, in: Society of Professional Well Log Analysts Annual Logging Symposium, 26pp. Phaye D. K., Nambian M. V., Srivastava D. K., 2011, Evaluation of Petroleum System of Ariyalur-Pondicherry sub-basin (Bhuvavgiri area) of Cauvery Basin, India: A two dimensional (2-D) basin modelling study, Second South Asian Geoscience Conference and Exhibition GEOIndia. Pickett G.R., 1966, A review of current techniques for determination of water saturation from log, J. Petrol. Technol.1425 1433. Saha G. C., Borhtakur A., Chaudhuri A., 2008, A Case Study on Log Property Mapping in Ramnad Sub-Basin for Better Understanding the nannilam Reservoir Distribution and Risk Reduction in Exploration, SPG Hyderabad seventh Biennel Conference and Exposition on Petroleum Geophysics. Washburn E. W., 1921, Note on a method of determining the distribution of pore sizes in a porous material, Proc. Natl. Acad. Sci. 7 (4) 115 116. Acknowledgement We sincerely thankful to ONGC for providing the well log data for academic and research work. Dr. Rima Chatterjee is highly acknowledged for her guidance and valuable suggestions. El-Khadrag A. A., Ghorab M. A., Shazly T. F., Ramadan M., El-Sawy M. Z., 2014, Using of Pickett s plot in determining the reservoir characteristics in Abu Roash Formation, El Razzak Oil Field, North Western Desert, Egypt, Egyptian Journal of Petroleum 45-51. Greengold G. E., 1986, The graphical representation of bulk volume of water on the Pickett crossplot, The Log Analyst 27 (3) 1 25. Kwon B. S., Pickett G. R., 1975, A new pore structure model and pore structure interrelationship, in: Society of Professional Well Log Analysts, 16th Annual Logging Symposium, 14pp. Martin A. J., Solomon S. T., Hartmann D. J., 1997, Characterization of petrophysical flow units in carbonate reservoirs, AAPG Bull. 81 (5) 734 759.