Stratigraphy, deposition, and structural framework of the cretaceous (review) and 3D geological model of the lower cretaceous reservoirs, Masila oil field, Yemen

2009 ◽  
Vol 3 (3) ◽  
pp. 221-248 ◽  
Author(s):  
Hassan S. Naji ◽  
Mohammad H. Hakimi ◽  
Mohammed Khalil ◽  
Farooq A. Sharief
Keyword(s):  
Lower Cretaceous ◽  
Oil Field ◽  
Geological Model ◽  
Structural Framework ◽  
3D Geological Model

scholarly journals 3D geological modeling of the Upper Cretaceous reservoirs in GPT oil field, Abu Sennan area, Western Desert, Egypt

2019 ◽  
Vol 10 (2) ◽  
pp. 371-393
Author(s):  
Mohamed F. Abu-Hashish ◽  
Hamdalla A. Wanas ◽  
Emad Madian
Keyword(s):  
Seismic Data ◽  
Upper Cretaceous ◽  
Structural Model ◽  
Oil Field ◽  
Western Desert ◽  
Geological Model ◽  
3D Geological Modeling ◽  
Petrophysical Analysis ◽  
3D Geological Model ◽  
Property Modeling

Abstract This study aims to construct 3D geological model using the integration of seismic data with well log data for reservoir characterization and development of the hydrocarbon potentialities of the Upper Cretaceous reservoirs of GPT oil field. 2D seismic data were used to construct the input interpreted horizon grids and fault polygons. The horizon which cut across the wells was used to perform a comprehensive petrophysical analysis. Structural and property modeling was distributed within the constructed 3D grid using different algorithms. The workflow of the 3D geological model comprises mainly the structural and property modeling. The structural model includes fault framework, pillar girding, skeleton girding, horizon modeling and zonation and layering modeling processes. It shows system of different oriented major and minor faults trending in NE–SW direction. The property modeling process was performed to populate the reservoir facies and petrophysical properties (volume of shale (Vsh), fluid saturations (Sw and Sh), total and effective porosities (Φt and Φe), net to gross thickness and permeability) as extracted from the available petrophysical analysis of wells inside the structural model. The model represents a detailed zonation and layering configuration for the Khoman, Abu Roash and Bahariya formations. The 3D geological model helps in the field development and evaluates the hydrocarbon potentialities and optimizes production of the study area. It can be also used to predict reservoir shape and size, lateral continuity and degree of interconnectivity of the reservoir, as well as its internal heterogeneity.

scholarly journals Assessing the Geothermal Resource Potential of an Active Oil Field by Integrating a 3D Geological Model With the Hydro-Thermal Coupled Simulation

2022 ◽  
Vol 9 ◽  
Author(s):  
Yonghui Huang ◽  
Yuanzhi Cheng ◽  
Lu Ren ◽  
Fei Tian ◽  
Sheng Pan ◽  
...  
Keyword(s):  
Numerical Model ◽  
Oil Field ◽  
Natural State ◽  
Geological Model ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
New Town ◽  
3D Geological Model ◽  
Coupled Numerical Model ◽  
Geothermal Potential

Assessment of available geothermal resources in the deep oil field is important to the synergy exploitation of oil and geothermal resources. A revised volumetric approach is proposed in this work for evaluating deep geothermal potential in an active oil field by integrating a 3D geological model into a hydrothermal (HT)-coupled numerical model. Based on the analysis of the geological data and geothermal conditions, a 3D geological model is established with respect to the study area, which is discretized into grids or elements represented in the geological model. An HT-coupled numerical model was applied based on the static geological model to approximate the natural-state model of the geothermal reservoir, where the thermal distribution information can be extracted. Then the geothermal resource in each small grid element is calculated using a volumetric method, and the overall geothermal resource of the reservoirs can be obtained by making an integration over each element of the geological model. A further parametric study is carried out to investigate the influence of oil and gas saturations on the overall heat resources. The 3D geological model can provide detailed information on the reservoir volume, while the HT natural-state numerical model addressed the temperature distribution in the reservoir by taking into account complex geological structures and contrast heterogeneity. Therefore, integrating the 3D geological modeling and HT numerical model into the geothermal resource assessment improved its accuracy and helped to identify the distribution map of the available geothermal resources, which indicate optimal locations for further development and utilization of the geothermal resources. The Caofeidian new town Jidong oil field serves as an example to depict the calculation workflow. The simulation results demonstrate in the Caofeidian new town geothermal reservoir that the total amount of geothermal resources, using the proposed calculation method, is found to be 1.23e+18 J, and the total geothermal fluid volume is 8.97e+8 m3. Moreover, this approach clearly identifies the regions with the highest potential for geothermal resources. We believe this approach provides an alternative method for geothermal potential assessment in oil fields, which can be also applied globally.

scholarly journals 3D geological model of Nahr Umr/Ratawi oil field in Basra

2019 ◽  
Vol 579 ◽  
pp. 012036
Author(s):  
Mohammed Rashad Jemeel ◽  
Samahr A. Lazim ◽  
Sameera ◽  
M. Hamdullah
Keyword(s):  
Oil Field ◽  
Geological Model ◽  
3D Geological Model

scholarly journals Constructing 3D Geological Model for Tertiary Reservoir in Khabaz Oil Field by using Petrel software.

2020 ◽  
Vol 10 (2) ◽  
pp. 54-75
Author(s):  
Yousif N. Abdul Majeed ◽  
Dr. Ahmad A. Ramadhan ◽  
Dr. Ahmed J. Mahmood
Keyword(s):  
Water Saturation ◽  
Oil Field ◽  
Geological Model ◽  
Simulation Algorithm ◽  
Petrophysical Properties ◽  
Geological Structures ◽  
Geostatistical Method ◽  
3D Geological Model ◽  
Petrophysical Model ◽  
Gaussian Simulation

3D Geological model for tertiary reservoir in khabaz oil field had been constructed byusing petrel software. Seven wells have been selected in this study in order to designPetrophysical properties (porosity, water saturation, and permeability). Structural modelcan be clarified tertiary reservoir in term of geological structures is a symmetrical smallanticline fold with four faults. Tertiary reservoir consist of six units are (Jeribe, UnitA,UnitA', UnitB, UnitBE, and UnitE). According to Petrophysical properties, layering hadbeen constructed for each tertiary units. Petrophysical model has been designed using thesequential Gaussian simulation algorithm as a geostatistical method. The results illustratesthat Unit B and Unit BE have the best petrophysical properties and the big amount of oil.

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