Abstract
The Coniacian–Santonian Matulla Formation is one of the important reservoirs in the July oilfield, Gulf of Suez Basin. 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 Matulla Formation and predict their complex geometry in 3D space. To complete this study, 30 2D seismic sections, five digital well logs, and core samples of 75 ft (ft = 0.3048 m) length were used to build 3D models for the Matulla reservoir. The 3D structural model shows strong lateral variation in thickness of the Matulla Formation with NW–SE, NE–SW and N–S fault directions. According to the 3D facies model, shale beds dominate the Matulla Formation, followed by sandstone, carbonate, and siltstone beds. The petrophysical model demonstrates the Matulla reservoir's ability to store and produce oil; its upper and lower zones have good quality reservoir, whereas its middle zone is a poor quality reservoir. The most promising areas for hydrocarbon accumulation and production via the Matulla reservoir are located in the central, southeast, and southwest sectors of the oilfield. In this approach, we combined multiple datasets and used the most likely parameters calibrated by core measurements to improve the reservoir modeling of the complex Matulla reservoir. In addition, we reduced many of the common uncertainties associated with the static modeling process, which can be applied elsewhere to gain better understanding of a complex reservoir.
Highlights
The current research developments within the energy sector are seeking better exploitation of subsurface resources through enhancement of resource prediction and efficient production
3D geological modeling can be done in oil and gas reservoirs using various available software, the modeling accuracy still presents a big challenge that has a great impact on the effective development of hydrocarbon reservoirs
We focused on the Matulla Formation, which is the study target
Summary
The current research developments within the energy sector are seeking better exploitation of subsurface resources through enhancement of resource prediction and efficient production This can be achieved by accurate modeling of the rock physical and fluid characteristics in 3D space in order to improve production efficiency and resource recovery (Radwan, 2022; Wu & Xu, 2004, 2005; Yan-Lin et al, 2011). The geological model allows attributes to be assigned to each cell, and the quantitative reservoir models are often cell-dependent Such models place far greater challenges on the geologist than conventional models do because geology requires a complete explanation at any point within a reservoir’s 3D volume. The main advantage of 3D modeling approaches is the ability to model complex reservoirs with variable lithologies and reservoir heterogeneities, and so accurate parameters and the best data integration are required for better reservoir modeling
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