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

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

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

RESERVOIR CHARACTERIZATION USING SEISMIC AND WELL LOGS DATA (A CASE STUDY OF NIGER DELTA)

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

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

Evaluation of Hydrocarbon Volume in TRH Field, Onshore Niger Delta, Nigeria

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

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

Hydrocarbon Potential of the Marginal Fields in Niger Delta Oza Field, a case study*

Petrophysical Analysis and Sequence Stratigraphy Appraisal from Well logs of Bobo field, South-Eastern, Niger Delta

Imaging complex structure in seismic reflection data using prestack depth migration: case study of Olua area of the Niger Delta, Nigeria

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

Relinquishment Report

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

Porosity- Depth Estimation in Clastic Rocks from Sonic Logs in Chad Basin, Nigeria

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

LITTLE ABOUT BASIC PETROPHYSICS

Available online Journal of Scientific and Engineering Research, 2018, 5(1):1-10. Research Article

STRUCTURAL INTERPRETATION AND HYDROCARBON POTENTIAL OF OBUA FIELD, NIGER DELTA, SOUTHERN NIGERIA

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

An Integrated Approach to Volume of Shale Analysis: Niger Delta Example, Orire Field

Estimation of the Heat Flow Variation in the Chad Basin Nigeria NWANKWO, CYRIL N.; EKINE, ANTHONY S.; NWOSU, LEONARD I.

Bulletin of Earth Sciences of Thailand

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

Determination of Geothermal Gradient in the Eastern Niger Delta Sedimentary Basin from Bottom Hole Temperatures

Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc.

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

Formation evaluation of X7 field in the Niger Delta: evidence from Petrophysical data. Niger Delta, Nigeria.

Evaluation of Hydrocarbon Prospect of Amu Field, Niger-Delta, Nigeria

SEISMIC AND PETROPHYSICAL ATTRIBUTES OF RESERVOIRS IN EBI OIL FIELD, NIGER DELTA

Bulletin of Earth Sciences of Thailand. Evaluation of the Petroleum Systems in the Lanta-Similan Area, Northern Pattani Basin, Gulf of Thailand

Overpressure Prediction In The North-West Niger Delta, Using Porosity Data

Sequence Stratigraphy of the Upper Cretaceous Niobrara Formation, A Bench, Wattenberg Field, Denver Julesburg Basin, Colorado*

Lower Skinner Valley Fill Sandstones: Attractive Exploration Targets on the Northeast Oklahoma Platform*

Detecting and Predicting Over Pressure Zones in the Niger Delta, Nigeria: A Case Study of Afam Field.

GEO4270 EXERCISE 2 PROSPECT EVALUATION

SAND DISTRIBUTION AND RESERVOIR CHARACTERISTICS NORTH JAMJUREE FIELD, PATTANI BASIN, GULF OF THAILAND

Tu D Understanding the Interplay of Fractures, Stresses & Facies in Unconventional Reservoirs - Case Study from Chad Granites

Rock physics and AVO applications in gas hydrate exploration

Overpressure/ Depositional Analysis of Parts of Onshore (X-Field) Niger Delta Basin Nigeria, Based on Well Logs Data.

SEISMIC ATTRIBUTES AND PETROPHSICAL PROPERTIES OF IBA FIELD, NIGER DELTA, NIGERIA

ONLINE FIRST(NOT Peer-Reviewed)

REGIONAL GEOLOGY IN KHMER BASIN

Contents. Introduction. Introduction. Modern Environments. Tools for Stratigraphic Analysis

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

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

So I have a Seismic Image, But what is in that Image?

Reservoir Property Distribution and Structural Styles Analysis of OML D Regional Line, Onshore Niger Delta Basin

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

Bulletin of Earth Sciences of Thailand. Controls on Reservoir Geometry and Distribution, Tantawan Field, Gulf of Thailand.

Evaluation of Low Resistivity Laminated Shaly Sand Reservoirs

FIELD DEVELOPMENT PLANS USING SEISMIC RESERVOIR CHARACTERIZATION AND MODELING; A NIGER DELTA 3D CASE STUDY

The Stratigraphic Trap in the Benchamas Field Pattani Basin, Gulf of Thailand

Variety of Cementation Factor between Dolomite and Quartzite Reservoir

ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES ABSTRACT

Abstract. Introduction to Area

Hydrocarbon Potentials of Baze Field, Onshore Niger Delta, Nigeria: Petrophysical Analysis and Structural Mapping

CHAPTER III. METHODOLOGY

MUHAMMAD S TAMANNAI, DOUGLAS WINSTONE, IAN DEIGHTON & PETER CONN, TGS Nopec Geological Products and Services, London, United Kingdom

Calculation of Irreducible Water Saturation (S wirr ) from NMR Logs in Tight Gas Sands

Scholars Research Library. Predicting the aquifer characteristic within the major towns in Ndokwa land

1-D Electrical Resistivity Survey For Groundwater In Ketu-Adie Owe, Ogun State, Nigeria.

Reservoir Characterization: Implications From Petrophysical Data of the Paradise-Field, Niger Delta, Nigeria

High-resolution Sequence Stratigraphy of the Glauconitic Sandstone, Upper Mannville C Pool, Cessford Field: a Record of Evolving Accommodation

GY 402: Sedimentary Petrology

Downloaded 11/20/12 to Redistribution subject to SEG license or copyright; see Terms of Use at

THE UNIVERSITY OF TRINIDAD & TOBAGO

5 ORIGINAL HYDROCARBONS IN PLACE

APPENDIX C GEOLOGICAL CHANCE OF SUCCESS RYDER SCOTT COMPANY PETROLEUM CONSULTANTS

Pore Pressure Prediction Using Offset Well Logs: Insight from Onshore Niger Delta, Nigeria

Southern Songkhla Basin, Gulf of Thailand

Oil and Natural Gas Corporation Ltd., VRC(Panvel), WOB, ONGC, Mumbai. 1

Process, Zeit Bay Fields - Gulf of Suez, Egypt*

Lithofacies Characterization of Sedimentary Succession from Oligocene to Early Miocene Age in X2 Well, Greater Ughelli Depo Belt, Niger Delta, Nigeria

Search and Discovery Article #20097 (2011) Posted January 31, 2011

Well Logging Importance in Oil and Gas Exploration and Production

International Journal of Petroleum and Geoscience Engineering Volume 04, Issue 01, Pages 58-65, 2016

AAPG HEDBERG RESEARCH CONFERENCE

Dakota Sandstone. of the Moxa Arch and Surrounding Green River Basin

Petrophysical evaluation of uzek well using well log and core data, Offshore Depobelt, Niger Delta, Nigeria

Geological and Petrophysical Evaluation for an Oil Well

Factors Contributing to High Gamma-Ray Levels in Early Miocene Bhuban and Boka Bil Sandstone Reservoirs of Titas-15 Well

INTRODUCTION TO LOGGING TOOLS

Formation Evaluation: Logs and cores

MODEL COMPACTION EQUATION FOR HYDROSTATIC SANDSTONES OF THE NIGER DELTA.

PRELIMINARY ESTIMATION OF THERMAL CONDUCTIVITY IN BORNU-CHAD BASIN, NIGERIA

The Kingfisher Field, Uganda - A Bird in the Hand! S R Curd, R Downie, P C Logan, P Holley Heritage Oil plc *

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

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

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

water L v i Chapter 4 Saturation

Steve Cumella 1. Search and Discovery Article # (2009) Posted July 30, Abstract

Available online at ScienceDirect. Energy Procedia 114 (2017 )

Petroleum geology framework, West Coast offshore region

Available online Journal of Scientific and Engineering Research, 2018, 5(6): Research Article

Ground-Water Exploration in the Worthington Area of Nobles County: Summary of Seismic Data and Recent Test Drilling Results

DEVELOPED CORRELATIONS BETWEEN PETROPHYSICAL, ACOUSTIC, PHYSICAL PROPERTIES FOR SYNTHETIC SANDSTONE

Fundamentals Of Petroleum Engineering FORMATION EVALUATION

Geoelectric Evaluation of Groundwater Potential: A Case Study of Sabongida-Ora and Environs, Southern Nigeria

Distribution of Overpressure and its Prediction in Saurashtra Dahanu Block, Western Offshore Basin, India*

Transcription:

JASEM ISSN 1119-8362 All rights reserved Full-text Available Online at wwwbiolineorgbr/ja J Appl Sci Environ Manage December, 2009 Vol 13(4) 81-85 Petrophysical Charaterization of the Kwale Field Reservoir Sands (OML 60) from Wire-line Logs, Niger Delta, Nigeria EKINE, A S; IYABE, PAUL Department of Physics, University of PortHarcourt, PortHarcourt, Nigeria ABSTRACT: Well log data from the deep parts of the six wells located in the Kwale field of the Niger delta basin (OML 60) were used in the determination of some Petrophysical characteristics of the reservoir sands Well log data were obtained from sonic, gamma-ray, matrix density and resistivity logs The petrophysical characteristics investigated were porosity, water saturation and permeability The results of the analysis revealed the presence of twelve sand units Correlation of these sand bodies indicate that the reservoirs consist of stacked barrier bar and point-bar sandstones The thickness of each sand unit is highly variable, ranging between 50 and 950 m Average shale-corrected porosities vary between 110 and 190 percent and generally decreasing with depth The average water saturation of these units vary between 525 and 885 percent These values are generally high for the sand units in wells 2, 5, 6 and 8 Similarly, the average permeability values vary between 32 and 280 md This study is a first attempt to make available Petrophysical data for the reservoir sands in the Kwale field of the Niger delta basin The results of this study will also enhance the proper characterization of the reservoir sands However, other sources of confirmative and collaborative investigations will therefore be essential and consequently will be the focus of another study @ JASEM Petrophysical logs interpretations used for the characterization of reservoir sands are very useful and important tools for selecting, planning and implementing operationally sound supplementary recovery schemes These logs are commonly used in exploration for the correlation of sand bodies, isopach and structural mappings, and for the determination of certain physical properties of rocks such as porosity, permeability, lithology identification and possibly pore geometry The evaluation of reservoir rocks in terms of their porosity, water saturation and permeability determinations, enhances the ability to predict abnormally pressured zones, to estimate hydrocarbon reserves and reservoir bed thickness, and to distinguish between gas, oil and water bearing strata, by observing their electrical resistivity and relative permeability values (Hilchie, 1990; Schlumberger, 1996; Uguru et al, 2002) The dearth of published works on the petrophysical characteristics of reservoir rocks in the Niger delta complex prompted the interest in this work This study, therefore attempts to correlate the reservoir sands encountered by six deep wells in the Kwale field (OML 60) (see Fig 1); using their porosity, water saturation and permeability values as petrophysical parameters Fig 1 Map of Study Area Showing Locations of Various Wells

82 Summary of the Structural and Stratigraphic Setting of the Study Area: The study area, located within the northwestern parts of the Niger delta complex, is characterized by structures which resulted from listric growth faults and their associated roll-ever anticlines (Fig 2) An antisymmetrical roll-over anticline bounded on the northeast and southwest by a major southwest dipping listric fault comprises the major structure in this area A minor synthetic fault extends from the western to the southern boundary forming structural closure to the west of the Kwale block Three different highs exist in the area namely a central high where most of the wells have been drilled; an eastern high housing one well; and a northwestern high whose extent has not been clearly defined A saddle separating the central from the northwestern high is shifted towards the south (Mamosa, 1972; Ashaka and Mamosa, 1972) The stratigraphic sequence of the Cenozoic Niger delta complex has been discussed in great details in several works which include Short and Stauble (1967); Allen (1972); Merki (1972); Murat (1972); Avbovbo and Ogbe (1978) The sandstones of the Agbada Formation represent the major hydrocarbon reservoirs in the Kwale field METHOD OF ANALYSIS Well log data from sonic, gamma ray, matrix density and resistivity logs from six deep wells in the Kwale field (OML 60) were used in the analysis These logs were acquired by Schlumberger for Nigeria Agip Oil Company Limited The ability of rocks to conduct electrical current is primarily a function of the quantity and salinity of the pore fluid A highly resistive permeable bed is therefore indicative of high hydrocarbon saturation (Dresser Atlas, 1982) The resistivity logs were therefore first used to identify hydrocarbon or water-bearing zones and hence indicate permeable zones The various sand bodies were then identified on the gamma ray logs From these logs also were determined the gamma ray index I GR needed for the computation of shale volume in the identified sand bodies Fig 2 Structural setting of the Kwale field (after Mamosa, 1972)

83 Using the bulk density and sonic logs, the shale corrected Φ cc of the sand bodies were estimated using the following relations: - (1) (2) where t =formation interval transit time; t ma = formation matrix interval transit time; t sh = inte r val transit time for adjacent shale; t f = interval transit time for interstitial fluid = 189 µs/ft; ρ ma = matrix bulk density = 265 gm-cm -3 ; ρ b = formation bulk density; ρ f = fluid density = 101 gm-cm -3 ; and ρ sh = bulk density of adjacent shale The shale volume V sh in the sand bodies was estimated using the equation (3) below which is valid particularly for Tertiary sediments (3) where (4) and GR log = gamma-ray log value for shaley sand; GR min = gamma-ray minimum value for clean sand; and GR max = gamma-ray maximum value for shale zone To estimate the formation water saturation S w, the true formation resistivity R t from the deep reading resistivity log is first obtained and the formation water resistivity as supplied by the company noted Then using the modified Archie s equation (5) (Dresser Atlas, 1982) we have that (5) where R w = resistivity of formation water; a = tortuosity = 081; m = cementation factor = 20 and n = saturation exponent usually taken as 20 A formation is at its irreducible water saturation when its bulk volume water B vw is constant This value is obtained from equation (6) below (6) At the irreducible water saturation, the Timur s equation is applied to determine the formation permeability K, which is given as (7) The results obtained from these computations are presented on Tables 1, 2 and 3 By applying the characteristic log motif techniques after Selley (1976), the resistivity and gamma ray curves were used to correlate the sand bodies The porosity values were also incorporated in the process of correlation The sand bodies identified are labeled from A to M as indicated A typical sand development trend (isopach map) for sand unit G is shown on Figure 3 Table 1: Lateral Distribution of Porosity Values in the Sands (%) A - 21 19 - - 17 B 19 18 19 19-17 C 21 19 19 17 - - D 20 20 18 17-18 F 17 18 17 17 15 17 G 17 19 17 17 13 16 H 17 17 11 16 13 - I - 16 17 15 12 - J - 16 14 14 12 - K - 19 13 13 12 - L 16 17 13 11 - - M 14-11 12 13 - Table 2: Lateral Distribution of Water Saturation (S w) A - 74 - - - 31 B 45 75 69 76-39 C 32 82 77 71 - - D 48 85 73 74-49 F 53 93 78 69-52 G 50 75 82 74-63 H 36 91 89 67 76 - I - 75 71 63 92 - J - 82 90 90 92 - K - 75 74 73 92 - L 41 81 66 81 58 - M 57-51 55 54 -

84 Table 3: Lateral Distribution of Permeability K (Md) A - 16 - - - 37 B 28 81 12 10-23 C 87 86 94 70 - - D 31 10 108 64-24 F 16 52 94 74-13 G 18 81 52 74-68 H 27 43 52 60 19 - I - 48 65 51 11 - J - 40 69 18 11 - K - 102 18 20 11 - L 16 54 19 08 23 - M 46-19 25 37 - RESULTS AND DISCUSSION Results of the analysis identified a total of twelve reservoir sands which have been from A to M without E These identifications were based on the characteristic log motifs after Selley (1976) Sand bodies B, D, F, I, K and M have the character of blocky or funnel-shaped curves and are serrated which are representative of upward flaring log expression These sand units can be interpreted as barrier bar sands Sand units A, C, G, H, J and L are interpreted as point bar or channel sandstones because of their characteristic upward narrowing or bell-shaped log expression exhibited by sandstones which fine upwards Some of the sand units were encountered in all the wells (such as units F and G), whereas most others could not be identified because of non-availability of some sections of the analyzed well logs, particularly for wells 8 and 10 All the sand units encountered consist of stacked barrier bar sands or point bar sandstones with continuous shaley interbeddings throughout the field Porosities within the field are observed generally to decrease with depth The estimated average porosity value range between 190 and 130 percent decreasing with depth These low porosity values may be attributed to mainly grain size and sorting effects within the reservoir sands (Pickett, 1960; Beard and Weyl, 1973 and Scherer, 1987) All the sand units investigated are confined within the Agbada Formation The varying shale contents and the depths of burial may have contributed, though to a minor extent, to the decrease in porosity The porosity values are however considered to be fairly good for hydrocarbon accumulation Average water saturation of the sand units vary between 525 and 885 percent These average water saturation values are observed to increase with depth from unit a to a maximum in unit J at the average depth of about 3,300 m These values then decrease to about 540 percent within M The estimated water saturation values are also observed to be generally high for the sand units in wells 2, 5, 6 and 8 Owing to the fact that no other form of analysis was undertaken to support the results of this work, we could not advance specific causes for the trend in the water saturation values However, the differences layer clay content and slight differences in the exchangeable hydrated cations in these clays (Timur, 1968; Dresser Atlas, 1882) The average permeability values for the various sand units vary between 32 and 280 md These values are observed to decrease with depth, with the exception of units C and G Permeability values are generally high for all the sand units in wells 1 and 10 with ranging between 130 and 870 md However, the sand units in wells 2, 5, 6 and 8 have permeability values that are below 100 md, which is agreement with the variations in water saturation values obtained for these wells This effect is as a result of micropores in the sand units which are preferentially water-wet Some of these units that are relatively thin could act as secondary trapping mechanism The thicknesses of the sand units are highly variable, becoming thinnest around units A, C, H and J with thicknesses of between 50 and 250 m The next groups are units B, D, G, I, K and L which are relatively thick and having thicknesses between 100 and 550 m The thickest sand units are units F and M with thicknesses between 450 and 950 m Sand unit G, which is encountered in all wells, has the thickest sand development of about 550 m around well 6 and thins in a southeasterly direction towards well 2 with a thickness of about 100 m

85 Fig 3: Isopach map sand unit G The above correlations and interpretations have been arrived at through well logs analysis only The need for other sources of confirmative and collaborative data, such as drill stem test, core analysis and production data are highly imperative The results from these data will technically enhance the proper characterization of the reservoir sands However, the proposed data set is currently highly classified REFERENCES Allen, JR, (1964) The Nigerian continental margin bottom sediments: Submarine morphology and geological evolutions Marine Geology, 1: 289 323 Ashaka, P; Mamosa, S (1972) Agip deep drilling technology Oil and gas Journ, 5: 1 15 Avbovbo, AA; Ogbe, FG (1978) Tertiary lithostratigraphy of the Niger delta A A P G Bull, 62: 285 300 Beard, DC; Weyl, PK (1973) Influence of texture on porosity and permeability of unconsolidated sands A A P G Bull, 57; 349 369 Dresser Atlas, (1982) Well-logging and interpretation techniques Dresser Industries Inc Hilchie, DW (1990) Wireline: A history of the well logging and perforation business in the oil fields D W Hilchie Inc, Boulder, Colorado, U SA pp 25 86 Mamosa, S (1972) Geology of the Kwale field Unpublished paper for Nigeria Agip Oil Company Merki, P (1972) Structural geology of the Cenozoic Niger delta In African Geology, eds T J F Dessauvagie and A J Whiteman, University of Ibadan Press Pp 251 268 Murat, RC (1972) Stratigraphy and paleogeography of the Cretaceous and Lower Tertiary in Southern Nigeria In African Geology, ed T J F Dessauvagie and A J Whiteman, University of Ibadan Press Pp 635 648 Pickett, E (1960) The use of acoustic logs in the evaluation of sandstones reservoir Geophysics, 21(#3): 250 274 Scherer, M (1987) Parameters influencing porosity of sandstones: A model for sandstone porosity prediction A A P G Bull, 71: 485 491 Schlumberger, (1972) Log interpretations Schlumberger Inc, New York 2: 112 116 Schlumberger, (1996) Log interpretation charts Schlumberger Well Services, Houston Pp 2 34 Selley, RC (1976) Subsurface environmental analysis of North Sea sediments A A P G Bull, 60: 184 190 Timur, A (1968) An investigation of permeability, porosity and residual water saturation relationships for sandstone reservoirs The Log Analyst, July August, 9(#4): 3 5 Uguru, CI; Onyeagoro, OU; Sikiru, IO (2002) Permeability modeling for reservoirs in the Niger Delta based on geological descriptions and core data SIPM Review Report, pp 4 98