Automatic Facies Analysis in the Arab Formations, El Bunduq Field, Offshore Abu Dhabi/Qatar

Cruz, M.A. De La; Takizawa, H.

doi:10.2118/14280-ms

SPE Annual Technical Conference and Exhibition 1985

DOI: 10.2118/14280-ms

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Automatic Facies Analysis in the Arab Formations, El Bunduq Field, Offshore Abu Dhabi/Qatar

M.A. De La Cruz

H. Takizawa²

Abstract: The high complexity of diagenetic facies and +hei~1 --.1 . -----Au.-.w-eh.maaa .ffa,-t4"o V..-mrn+ . -..s..~--q...._-.A..~.=-=. "".. . quality can be monitored.A computer-based program haa been used for zonation of wells into electrofacies according to Reservoir quality in the Arab C fncreaaes log responses. The process determines a number of towards the crestal zone due to the occurrence clusters from similar log valuee. of lees anhydrite (F7, F8) in the carbonate facies. To ensure that the electrofacies ob… Show more

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Cited by 3 publications

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A Genetic Approach to the Prediction of Petrophysical Properties

Jian

Chork

Taggart

et al. 1994

Journal of Petroleum Geology

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The importance of the flow unit approach to reservoir description has been recognised recently, but its application to predict porosity, permeability and water saturation from well logs has not been attempted in previous studies. This Paper describes a genetic approach to reservoir description, which combines lithofacies analysis with discriminant analysis and probability field simulation for the identification and characterisation of flow units on the basis of core and log data. Lithofacies with distinct depositional, diagenetic and petrophysical characteristics, which essentially act as lithohydraulic flow units, have been identified from cores. A set of discriminant functions is then computed using log data from cored wells to identify lithofacies from wireline logs in uncored wells. Each lithofacies has been found by regression analysis to possess a distinct porosity and permeability relationship. The lithofacies‐specific relationships between sonic travel time and core porosity is also established by regression analysis. Porosity and permeability values predicted from regression analysis lack variability when compared to actual core data. Hence, probability field simulation is applied to add fine‐scale variation to the values predicted from regression analysis. The techniques described here can be applied to any type of reservoir. The application of these techniques has resulted in an improved prediction of porosity, permeability and water saturation for a shaly, glauconitic reservoir in the North West Shelf area of Australia, where traditional log analysis has been proved to be difficult to apply.

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A Genetic Approach to the Prediction of Petrophysical Properties

Jian

Chork

Taggart

et al. 1994

Journal of Petroleum Geology

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Qatar's Oil and Gasfields: A Review

Al-Siddiqi¹,

Dawe²

1999

Journal of Petroleum Geology

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In this paper, we review the oil‐ and gasfields located within the State of Qatar, and survey the discovery and development of hydrocarbons in Qatar over the past 60 years. This development history can be divided into two phases — before and after 1990. Until 1990, four producing areas had been identified, one onshore and three offshore. The single onshore field (Dukhan) has three oil‐producing reservoirs, beneath which is a non‐associated gas reservoir. Offshore, the first producing area comprises three oil and associated gasfields (Idd El Shargi, Maydan Mahzam and Bul Hanine); while the second is the super‐giant North gasfield. Qatar also shares with Abu Dhabi the offshore Al‐Bunduq gasfield. Although a number of other areas were explored by seismic survey and drilling, no further commercial oil was declared. Since 1990, however, there has been considerable further exploration around the offshore producing areas, and a number of new fields have been discovered (e.g. Al‐Khalij, Al‐Rayyan and Al‐Shaheen).

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Computer-Generated Corelike Descriptions from Open-Hole Logs (1)

Anxionnaz

Delfiner²,

Delhomme³

1990

Bulletin

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Automatic Facies Analysis in the Arab Formations, El Bunduq Field, Offshore Abu Dhabi/Qatar

Cited by 3 publications

References 2 publications

A Genetic Approach to the Prediction of Petrophysical Properties

A Genetic Approach to the Prediction of Petrophysical Properties

Qatar's Oil and Gasfields: A Review

Computer-Generated Corelike Descriptions from Open-Hole Logs (1)

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