Characterization of Conductive Faults and Fractures Responsible for Inter-reservoir Communication in the Shedgum Leak Area of the Giant Ghawar Field, Saudi Arabia

2003 ◽  
Author(s):  
Abdullah Al-Ghamdi ◽  
Saud A. BinAkresh ◽  
Saleh A. Bubshait
Keyword(s):  
Saudi Arabia ◽  
Ghawar Field

Reservoir characterization of Permian Khuff-C carbonate in the supergiant Ghawar Field of Saudi Arabia

2001 ◽  
Vol 20 (7) ◽  
pp. 706-717 ◽  
Author(s):  
Shiv N. Dasgupta ◽  
Ming Ren Hong ◽  
Ibrahim A. Al-Jallal
Keyword(s):  
Saudi Arabia ◽  
Reservoir Characterization ◽  
Ghawar Field

scholarly journals Phenotypic and molecular characterization of Acinetobacter baumannii clinical isolates in Saudi Arabia

2020 ◽  
Vol 13 (2) ◽  
pp. 327
Author(s):  
R Bawazeer ◽  
M Algoribi ◽  
T Abujamel ◽  
L Okdah ◽  
M Alzayer ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Acinetobacter Baumannii ◽  
Molecular Characterization ◽  
Clinical Isolates

Formation Evaluation While Drilling Of a Complex Khuff-C Carbonate Reservoir in Ghawar Field, Saudi Arabia

2007 ◽  
Author(s):  
Abdullah Abdulrahman Al-Fawwaz ◽  
Nedhal Mohamed Al-Musharfi ◽  
Parvez Jamil Butt ◽  
Abdul Fareed
Keyword(s):  
Saudi Arabia ◽  
Carbonate Reservoir ◽  
Formation Evaluation ◽  
Ghawar Field

scholarly journals Geostatistical Model for the Arab-D Reservoir, North ’Ain Dar Pilot, Ghawar Field, Saudi Arabia: An Improved Reservoir Simulation Model

GeoArabia ◽  
1996 ◽  
Vol 1 (2) ◽  
pp. 267-284
Author(s):  
John L. Douglas ◽  
Keyword(s):  
Saudi Arabia ◽  
Fluid Flow ◽  
Reservoir Rock ◽  
Well Test ◽  
Geostatistical Model ◽  
Deterministic Models ◽  
Modeling Approach ◽  
The North ◽  
Porosity And Permeability ◽  
Ghawar Field

ABSTRACT The North ‘Ain Dar 3-D geocellular model consists of geostatistical models for electrofacies, porosity and permeability for a portion of the Jurassic Arab-D reservoir of Ghawar field, Saudi Arabia. The reservoir consists of a series of shallow water carbonate shelf sediments and is subdivided into 10 time-stratigraphic slices on the basis of core descriptions and gamma/porosity log correlations. The North ‘Ain Dar model includes an electrofacies model and electrofacies-dependent porosity and permeability models. Sequential Indicator Simulations were used to create the electrofacies and porosity models. Cloud Transform Simulations were used to generate permeability models. Advantages of the geostatistical modeling approach used here include: (1) porosity and permeability models are constrained by the electrofacies model, i.e. by the distribution of reservoir rock types; (2) patterns of spatial correlation and variability present in well log and core data are built into the models; (3) data extremes are preserved and are incorporated into the model. These are critical when it comes to determining fluid flow patterns in the reservoir. Comparison of model Kh with production data Kh indicates that the stratigraphic boundaries used in the model generally coincide with shifts in fluid flow as indicated by flowmeter data, and therefore represent reasonable flow unit boundaries. Further, model permeability and production estimated permeability are correlated on a Kh basis, in terms of vertical patterns of distribution and cumulative Kh values at well locations. This agreement between model and well test Kh improves on previous, deterministic models of the Arab-D reservoir and indicates that the modeling approach used in North ‘Ain Dar should be applicable to other portions of the Ghawar reservoir.

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