A static modeling approach to the Brown Limestone carbonate reservoir, Geisum Oilfield, Gulf of Suez, Egypt

Abstract

The Gulf of Suez in Egypt contains more than 80 conventional oil fields with reservoirs from Precambrian up to Quaternary age. To date, these fields have all been conventional resources. This abstract will take part of the Gulf of Suez sequence within the fields of Petrogulf Misr Company and present a work process for unconventional resource assessment of the Brown Limestone formation within one of these areas. The Brown Limestone formation is a Late Cretaceous Pre-rift mega sequence succession and plays an important role in the conventional system of Gulf of Suez, Brown Limestone formation is not only as one of the important source rocks, but also a fractured carbonate reservoir in multiple fields especially is the southern Geisum oil field. However, this formation is characterized by uncertainty due to the complexity of reservoir architecture, various lithologies, lateral facies variations, and heterogeneous reservoir quality. These reservoir challenges, in turn, affect the effectiveness of further exploitation of this reservoir along the Gulf of Suez Basin. In this work, we conduct an integrated study using multidisciplinary datasets and techniques to determine the precise structural, petrophysical, and facies characteristics of the Brown Limestone Formation and predict their complex geometry in 3D space. The Brown Limestone formation is considered to be as a reservoir in the study area. The value of water saturation ranges from 15 to 45%, where the value of Effective Porosity ranges from 11 to 15% for the selected potential intervals in Brown Limestone due to the highly structural setting in the study area, so Reservoir thickness was used as the proxy for reservoir effectiveness where thicker reservoir had a higher chance of containing multiple intervals for good potential intervals.

3D Geological Modeling with Petrel Software: Estimating Original Oil in Place of Lower Cretaceous Y- Formation: A Case Study in a Selected Oilfield

“…The 3D Facies model was implemented using the stochastic sequential indicator simulation (SIS) method [20].This algorithm is widely used for discrete or categorical variable data, like Facies. It involves considering upscaled Facies values and allocated variograms as crucial factors [21].…”

“…To build the 3D Facies model, the assigned values were input into Petrel software using a speci c code for lithology distribution. These values were then distributed in two directions (vertical and horizontal) across the grid cells to create a complete 3D representation between wells [21].…”

“…The ratio of oil, water, and gas in the pore media is known as the saturation distribution [21]. Saturation is a crucial form for specifying water areas with high potential.…”

Application of the electrical resistivity method and the estimation of limestone volume: a case study

“…According to the work of Gusman et al (2019), limestone is a primary and predominant constituent in the cement manufacturing process, requiring appropriate quality to ensure the production of high-quality cement products. In another recent study, Osman et al (2022) employed a comprehensive approach that incorporated many datasets and methodologies to investigate the detailed structural, petrophysical, and facies properties of the Brown Limestone formation located in the Geisum oil field of the Gulf of Suez. Their aim was to precisely determine the complicated geometry of these features in a three-dimensional context.…”