{'fraction_non_alphanumeric': 0.01820388349514563, 'fraction_numerical': 0.0024271844660194173, 'mean_word_length': 5.870833333333334, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Petroleum geology: 3D reservoir modelling in the central Gulf of Suez, Egypt, to estimate the hydrocarbon possibility via petrophysical analysis and seismic data interpretation

October oil field is considered one of the most prolific areas in the central Gulf of Suez, which recently suffered a lack of production in some areas, in addition to some wells that have begun to deplete, which negatively affects the economic value of this field. 3D integrated reservoir model on five wells has been performed to simulate the subsurface structural setting, petrophysical modelling, and distribution of facies modelling of the Late Cretaceous Matulla Formation and Early Miocene Asl Member of Upper Rudeis Formation, which are the main oil‐bearing reservoirs in this study. Structural modelling controlled by the incorporation of explained structures, horizons, and picked zones for 3D grid express northwest–southeast to northeast–southwest fault systems, whilst facies modelling has enabled the spatial distribution of lithologic facies within the established 3D structural model reflecting two types of facies: marine carbonates and lagoon shale, and the petrophysical modelling explained a complete distribution of the petrophysical characteristic of the Matulla and Asl oil reservoirs revealed good reservoir characteristics, which are high net pay, high effective porosity, low shale content, low water saturation, and high hydrocarbon saturation. Therefore, three new commercial promising areas were identified to raise the productive value of this field according to the three‐way dip closure, petrophysical results, and the facies distribution.