Geological Model of the Tight Reservoir (Sadi Reservoir-Southern of Iraq)

A3D geological model was constructed for Al-Sadi reservoir/ Halfaya Oil Field which is discovered in 1976 and located 35 km from Amara city, southern of Iraq towards the Iraqi/ Iranian borders. Petrel 2014 was used to build the geological model. This model was created depending on the available information about the reservoir under study such as 2D seismic map, top and bottom of wells, geological data & well log analysis (CPI). However, the reservoir was sub-divided into 132x117x80 grid cells in the X, Y&Z directions respectively, in order to well represent the entire Al-Sadi reservoir. Well log interpretation (CPI) and core data for the existing 6 wells were the basis of the petrophysical model (Porosity, Water saturation, & Permeability) that were distributed for all the created grids and then upscaled.

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Well Log Analysis of Nahr Umr, Shuaiba and Zubair Formations in EB-4 well of East Baghdad Oil Field, Iraq, using Rock Physics Templates (RPTs)

Iraqi Journal of Science ◽

10.24996/ijs.2021.62.3.23 ◽

2021 ◽

pp. 927-940

Author(s):

Ahmed S. Al-Banna ◽

Mustafa A. Al-Khafaji

Keyword(s):

Rock Physics ◽

Polynomial Equation ◽

Well Logging ◽

Seismic Inversion ◽

Oil Field ◽

The Other ◽

Log Analysis ◽

Well Log ◽

Lithology Identification ◽

Well Log Analysis

RPT is a method used for classifying various lithologies and fluids from data of well logging or seismic inversion. Three Formations (Nahr Umr, Shuaiba, and Zubair Formations) were selected in the East Baghdad Oil field within well EB-4 to test the possibility of using this method. First, the interpretations of the well log and Density – Neutron cross plot were used for lithology identification, which showed that Nahr Umr and Zubair formations consist mainly of sandstone and shale, while the Shuaiba Formation consists of carbonate (dolomite and limestone). The study was also able to distinguish between the locations of hydrocarbon reservoirs using RPT. Finally, a polynomial equation was generated from the cross plot domain (AI versus Vp/Vs) to estimate one parameter from the other in these formations, and vice versa.

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Reservoir quality evaluation of the Farewell sandstone by integrating sedimentological and well log analysis in the Kupe South Field, Taranaki Basin-New Zealand

Journal of Petroleum Exploration and Production Technology ◽

10.1007/s13202-020-01035-8 ◽

2020 ◽

Cited By ~ 1

Author(s):

S. M. Talha Qadri ◽

Md Aminul Islam ◽

Mohamed Ragab Shalaby ◽

Ahmed K. Abd El-Aal

Keyword(s):

Water Saturation ◽

Total Porosity ◽

Effective Porosity ◽

Log Analysis ◽

Reservoir Quality ◽

Well Log ◽

Shale Volume ◽

Diagenetic Processes ◽

Hydrocarbon Saturation ◽

Well Log Analysis

AbstractThe study used the sedimentological and well log-based petrophysical analysis to evaluate the Farewell sandstone, the reservoir formation within the Kupe South Field. The sedimentological analysis was based on the data sets from Kupe South-1 to 5 wells, comprising the grain size, permeability, porosity, the total cement concentrations, and imprints of diagenetic processes on the reservoir formation. Moreover, well log analysis was carried on the four wells namely Kupe South 1, 2, 5 and 7 wells for evaluating the parameters e.g., shale volume, total and effective porosity, water wetness and hydrocarbon saturation, which influence the reservoir quality. The results from the sedimentological analysis demonstrated that the Farewell sandstone is compositionally varying from feldspathic arenite to lithic arenite. The analysis also showed the presence of significant total porosity and permeability fluctuating between 10.2 and 26.2% and 0.43–1376 mD, respectively. The diagenetic processes revealed the presence of authigenic clay and carbonate obstructing the pore spaces along with the occurrence of well-connected secondary and hybrid pores which eventually improved the reservoir quality of the Farewell sandstone. The well log analysis showed the presence of low shale volume between 10.9 and 29%, very good total and effective porosity values ranging from 19 to 32.3% as well as from 17 to 27%, respectively. The water saturation ranged from 22.3 to 44.9% and a significant hydrocarbon saturation fluctuating from 55.1 to 77.7% was also observed. The well log analysis also indicated the existence of nine hydrocarbon-bearing zones. The integrated findings from sedimentological and well log analyses verified the Farewell sandstone as a good reservoir formation.

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Petrophysical Properties of Khasib Formation in East Baghdad Oil Field Southern Area

Iraqi Journal of Chemical and Petroleum Engineering ◽

10.31699/ijcpe.2020.4.5 ◽

2020 ◽

Vol 21 (4) ◽

pp. 41-48

Author(s):

Layth Abdulmalik Jameel ◽

Fadhil S. Kadhim ◽

Hussein Al-Sudani

Keyword(s):

Water Saturation ◽

High Water ◽

Oil Field ◽

Neutron Density ◽

Well Log ◽

Petrophysical Properties ◽

Shale Volume ◽

Southern Area ◽

Volume Porosity ◽

Well Log Analysis

Petrophysical properties evaluation from well log analysis has always been crucial for the identification and assessment of hydrocarbon bearing zones. East Baghdad field is located 10 km east of Baghdad city, where the southern area includes the two southern portions of the field, Khasib formation is the main reservoir of East Baghdad oil field. In this paper, well log data of nine wells have been environmentally corrected, where the corrected data used to determine lithology, shale volume, porosity, and water saturation. Lithology identified by two methods; neutron-density and M-N matrix plots, while the shale volume estimated by single shale indicator and dual shale indicator, The porosity is calculated from the three common porosity logs; density log, neutron log, and sonic log, the water saturation is calculated by Indonesian model and Archie equation, and the results of the two methods were compared with the available core data to check the validity of the calculation. The results show that the main lithology in the reservoir is limestone, shale volume ranged between 0.152 to 0.249, porosity between 0.147 to 0.220, and water saturation from 0.627 to 0.966, the high-water saturation indicate that the water quantity is the determining factor of the reservoir units.

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Well Log Analysis and Interpretation for Khasib,Tanuma, and Sa’di formations for Halfaya Oil Field in Missan Govenorate-Southern Iraq

Iraqi Journal of Science ◽

10.24996/ijs.2018.59.1c.9 ◽

2018 ◽

Vol 59 (1C) ◽

Keyword(s):

Oil Field ◽

Log Analysis ◽

Well Log ◽

Well Log Analysis ◽

Southern Iraq

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Constructing 3D Geological Model for Tertiary Reservoir in Khabaz Oil Field by using Petrel software.

Journal of Petroleum Research and Studies ◽

10.52716/jprs.v10i2.350 ◽

2020 ◽

Vol 10 (2) ◽

pp. 54-75

Author(s):

Yousif N. Abdul Majeed ◽

Dr. Ahmad A. Ramadhan ◽

Dr. Ahmed J. Mahmood

Keyword(s):

Water Saturation ◽

Oil Field ◽

Geological Model ◽

Simulation Algorithm ◽

Petrophysical Properties ◽

Geological Structures ◽

Geostatistical Method ◽

3D Geological Model ◽

Petrophysical Model ◽

Gaussian Simulation

3D Geological model for tertiary reservoir in khabaz oil field had been constructed byusing petrel software. Seven wells have been selected in this study in order to designPetrophysical properties (porosity, water saturation, and permeability). Structural modelcan be clarified tertiary reservoir in term of geological structures is a symmetrical smallanticline fold with four faults. Tertiary reservoir consist of six units are (Jeribe, UnitA,UnitA', UnitB, UnitBE, and UnitE). According to Petrophysical properties, layering hadbeen constructed for each tertiary units. Petrophysical model has been designed using thesequential Gaussian simulation algorithm as a geostatistical method. The results illustratesthat Unit B and Unit BE have the best petrophysical properties and the big amount of oil.

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Stochastic fluid modulus inversion

Geophysics ◽

10.1190/1.1527083 ◽

2002 ◽

Vol 67 (6) ◽

pp. 1835-1843 ◽

Cited By ~ 7

Author(s):

Luther White ◽

John Castagna

Keyword(s):

Elastic Wave ◽

Water Saturation ◽

Elastic Wave Velocity ◽

Log Analysis ◽

Well Log ◽

Numerical Examples ◽

Reference Information ◽

Gassmann’S Equation ◽

Well Log Analysis ◽

Stochastic Fluid

A probabilistic inversion approach is used with Gassmann's equation to determine pore fluid modulus using elastic wave velocity without reference information from a rock saturated with a second fluid of known modulus. Numerical examples show that even when uncertainties in input parameters are relatively large, useful estimates of fluid modulus can be obtained. For a well‐log data example, water saturation derived from the inverted fluid modulus compares favorably to saturations derived from well log analysis.

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