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.

Shallow Geothermal Resources Assessment of the Brussels Region: Exploration, 3D Geological Model, Geothermal Potential Mapping and Challenges Related

2020 ◽  
Author(s):  
Estelle Petitclerc ◽  
Pierre Gerard ◽  
Xavier Devleeschouwer ◽  
Bertrand François ◽  
Marijke Huysmans ◽  
...  
Keyword(s):  
Geothermal Energy ◽  
Public Awareness ◽  
Design Tool ◽  
Geological Model ◽  
Geothermal Systems ◽  
Geothermal Resources ◽  
Development Fund ◽  
3D Geological Model ◽  
Geothermal Potential ◽  
Geothermal Parameters

<p>In 2015, a legal framework was implemented in the Brussels-Capital Region (BCR) where passive construction has been mandatory with an obliged heat demand not exceeding 15 kW<sub>h</sub>/m<sup>2</sup>. Since 2015, the interest in installing shallow geothermal systems has significantly increased. However, limited knowledge of ground conditions, lack of public awareness and the urban nature of the Brussels area restrict the development of shallow geothermal systems despite the high potential of this technique in the RBC. The BRUGEO project aims to facilitate accessibility and the efficient use of shallow geothermal energy in the BCR specifically for commercial and residential sectors. Thanks to Brussels ERDF (European Regional Development Fund) funding a consortium of all major actors in geothermal energy were brought together (ULB, Brussels Environment, BBRI, VUB, and GSB). During the  four years project (2016-2020), specific actions promoting the geothermal potential were addressed: 1- Collect existing data related to the knowledge on Brussels subsurface (geological, hydrogeological, and geothermal data) and consolidate them in a single database; 2- Conduct new laboratory and field tests in order to complete geological analyses and to assess geothermal parameters; 3- Map the geothermal potential for open and closed systems. The Geological Survey of Belgium (GSB) has created, during the last 7 years, a GIS based 2D-3D geological model of the BCR underground. 9266 drillings and geotechnical data collected in and around the BCR have been used to create the Brustrati3D model generating interpolated top and base surfaces for 19 geological layers representing the whole lithostratigraphic sequence from Quaternary to the Paleozoic basement. An important exploration phase was included in the first two years of the BRUGEO project to acquire new data improving the geological and hydrogeological knowledge of BCR. Several in-situ parameters are measured by e.g. new piezometers implementation and monitoring, pumping tests, cores sampling, logging and enhanced thermal response tests (eTRT). These measurements are implemented as far as possible on future private projects by a win-win approach. The idea is to be grafted on existing projects to increase the data acquisition and to avoid purely exploratory drilling that are expensive and not used later for any geothermal exploitation. So far, the BRUGEO consortium has also conducted three exploration drillings to assess the lithology, the structure, the groundwater flows, and geophysical properties of the Cambrian basement (Brabant Massif). In parallel, laboratory measurements are achieved to characterize the determinant thermal parameters of the Brussels underground. From all the subsurface data collected, the BRUGEO consortium aims at mapping the geothermal potential of the BCR. This web-based mapping, accessible to design offices, installers of geothermal systems, citizens, public and private stakeholders or regional and municipalities administrations, will make it easier to foster the use of geothermal energy. The web portal will consist of an interactive decision support and a design tool based on maps built thanks to the geoscientific 3D models and geothermal parameters assessed during BRUGEO. The results are expected to be published online in March 2020.</p>

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 Geothermal resources and reserves in Indonesia: an updated revision

2015 ◽  
Vol 3 (1) ◽  
pp. 1-6 ◽  
Author(s):  
A. Fauzi
Keyword(s):  
Power Production ◽  
Full Potential ◽  
Double Counting ◽  
Geothermal Resource ◽  
Geothermal Resources ◽  
Geothermal Potential ◽  
Recent Estimate ◽  
Base Reference ◽  
Reserve Estimates ◽  
Resource Category

<p><strong>Abstract.</strong> More than 300 high- to low-enthalpy geothermal sources have been identified throughout Indonesia. From the early 1980s until the late 1990s, the geothermal potential for power production in Indonesia was estimated to be about 20 000 MWe. The most recent estimate exceeds 29 000 MWe derived from the 300 sites (Geological Agency, December 2013). <br><br> This resource estimate has been obtained by adding all of the estimated geothermal potential resources and reserves classified as "speculative", "hypothetical", "possible", "probable", and "proven" from all sites where such information is available. However, this approach to estimating the geothermal potential is flawed because it includes double counting of some reserve estimates as resource estimates, thus giving an inflated figure for the total national geothermal potential. <br><br> This paper describes an updated revision of the geothermal resource estimate in Indonesia using a more realistic methodology. The methodology proposes that the preliminary "Speculative Resource" category should cover the full potential of a geothermal area and form the base reference figure for the resource of the area. Further investigation of this resource may improve the level of confidence of the category of reserves but will not necessarily increase the figure of the "preliminary resource estimate" as a whole, unless the result of the investigation is higher. A previous paper (Fauzi, 2013a, b) redefined and revised the geothermal resource estimate for Indonesia. The methodology, adopted from Fauzi (2013a, b), will be fully described in this paper. As a result of using the revised methodology, the potential geothermal resources and reserves for Indonesia are estimated to be about 24 000 MWe, some 5000 MWe less than the 2013 national estimate.</p>

Characterisation of the Dogger and Trias deep ressources in Orléans Métropolis, Centre-Val de Loire region, France : 3D geomodel and first geothermal potential assessment

2021 ◽  
Author(s):  
Virginie Hamm ◽  
Laure Capar ◽  
Perrine Mas ◽  
Philippe Calcagno ◽  
Séverine Caritg-Monnot
Keyword(s):  
Seismic Data ◽  
Geothermal Energy ◽  
District Heating ◽  
Geological Model ◽  
Paris Basin ◽  
Reservoir Properties ◽  
Geothermal Resources ◽  
Geothermal Well ◽  
Geothermal Potential ◽  
Heating Networks

&lt;p&gt;In Ile-de-France region, in the center of Paris Basin, geothermal energy contributes to a large extent to the supply of heating networks with about 50 of the 70 deep geothermal installations dedicated to district heating in France. Those installations mainly exploit the Dogger limestones between 1500-2000 m deep, which are present throughout the Paris Basin. In the case of Centre Val-de Loire region, south of Paris Basin, deep geothermal energy is very little developed, only one geothermal well is currently in operation and targeting the Triassic aquifer at Chateauroux on the southern edge of the basin. A former doublet had also targeted the Trias at Melleray (Orl&amp;#233;ans metropolis) in the 1980&amp;#8217;s but was shut down after one year due to reinjection problem.&lt;/p&gt;&lt;p&gt;In 2019, Orl&amp;#233;ans metropolis, in collaboration with BRGM, has launched a program in order to investigate its deep geothermal resources like the Dogger and Trias aquifers between 900 m and 1500 m deep. This action is in line with Orl&amp;#233;ans m&amp;#233;tropolis Territorial Climate Air Energy Plan (PCAET) and master plan for the heating networks adopted which foresee 65 000 additional dwellings to be connected using geothermal energy based heating networks.&lt;/p&gt;&lt;p&gt;In order to reduce the risks of failure of deep geothermal drilling, one of the prerequisites is a better knowledge of the subsurface. This requires the development of an accurate 3D subsurface geomodel as well as the most reliable possible hydrodynamic and thermal parameters to assess the geothermal potential. The purpose of this work was to produce a 3D geological model of the Dogger and Triassic units, on the scale of Orl&amp;#233;ans Metropolis, based on hydrocarbon and geothermal well data as well as interpretation of 2D seismic data. Seismic data acquired in the 1960s and the 1980s were processed and interpreted. A particular attention was paid to the Sennely fault and its geometry. It crosses the study area and was interpreted as a relay fault segmented in three parts. The horizon picking points were then converted from two-way time to depth and integrated in the GeoModeller software for the development of the 3D geomodel. It was then used for first hydrothermal simulations in order to assess the theorical potential of the Dogger and Trias aquifers at Orl&amp;#233;ans metropolis.&lt;/p&gt;&lt;p&gt;The 3D geomodel and first geothermal potential assessment have allowed defining areas of interest for geothermal development into the Dogger or Trias. However an initial exploratory drilling well or additional exploration techniques will be necessary to confirm/specify the reservoir properties (useful thickness, porosity, permeability) and the connectivity of the reservoir(s) and the flow rates that can actually be exploited, which cannot be predicted by the current geological model.&lt;/p&gt;

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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