scholarly journals Integration of 3D Geological Modeling and Geothermal Field Analysis for the Evaluation of Geothermal Reserves in the Northwest of Beijing Plain, China

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 638
Author(s):  
Zhenzhou Zhu ◽  
Xiaodong Lei ◽  
Nengxiong Xu ◽  
Dongyue Shao ◽  
Xingyu Jiang ◽  
...  
Keyword(s):  
Heat Flow ◽  
Three Dimensional ◽  
Scientific Basis ◽  
Geothermal Field ◽  
Field Analysis ◽  
Geological Modeling ◽  
Geothermal Resources ◽  
3D Geological Modeling ◽  
Beijing Plain ◽  
Distribution Of Resources

With the increasing demand for energy and the growing concern for atmospheric pollution in Beijing, China, the exploitation and utilization of geothermal resources are becoming more desirable. The study combined three-dimensional geological modeling with geothermal field analysis to make clear the potential and distribution of geothermal resources in the northwest of the Beijing plain, which could provide a scientific basis for rational utilization in the study area. Based on the analysis of the geological data and geothermal conditions, we created a 3D geological model of the study area, and then added isothermal surfaces into the model and analyzed the heat flow to enhance the understanding of the present geothermal field. After that, the volumes of different temperature intervals of heat reservoirs were calculated accurately and automatically by the integration of the model and the isothermal surfaces. Finally, the geothermal reserves were calculated by the improved volumetric method, and the distribution of resources was analyzed comprehensively. The results showed that, in the study area, the heat flow values ranged from 49 to 99 mW m−2, and the average elevations of 25 °C, 40 °C, and 60 °C isothermal surfaces were at −415 m, −1282 m, and −2613 m, respectively. The geothermal reserves were 5.42 × 1019 J and the volume of the heat reservoir was 4.88 × 1011 m3. The geothermal resources of the study area had good potential and could support local green development.

scholarly journals Summary on Several Key Techniques in 3D Geological Modeling

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Gang Mei
Keyword(s):  
Mesh Generation ◽  
Spatial Interpolation ◽  
Three Dimensional ◽  
Geological Modeling ◽  
3D Geological Modeling ◽  
Surface Intersection ◽  
Key Techniques

Several key techniques in 3D geological modeling including planar mesh generation, spatial interpolation, and surface intersection are summarized in this paper. Note that these techniques are generic and widely used in various applications but play a key role in 3D geological modeling. There are two essential procedures in 3D geological modeling: the first is the simulation of geological interfaces using geometric surfaces and the second is the building of geological objects by means of various geometric computations such as the intersection of surfaces. Discrete geometric surfaces that represent geological interfaces can be generated by creating planar meshes first and then spatially interpolating; those surfaces intersect and then form volumes that represent three-dimensional geological objects such as rock bodies. In this paper, the most commonly used algorithms of the key techniques in 3D geological modeling are summarized.

Rapid 3D geological modeling to assess and visualize uncertainties in a web application

2021 ◽  
Author(s):  
Daniel Pflieger ◽  
Miguel de la Varga Hormazabal ◽  
Simon Virgo ◽  
Jan von Harten ◽  
Florian Wellmann
Keyword(s):  
Web Application ◽  
High Performance ◽  
Three Dimensional ◽  
Cloud Services ◽  
Management Approach ◽  
Geological Modeling ◽  
Web Browser ◽  
3D Geological Modeling ◽  
State Management ◽  
Wide Range

<p>Three dimensional modeling is a rapidly developing field in geological scientific and commercial applications. The combination of modeling and uncertainty analysis aides in understanding and quantitatively assessing complex subsurface structures. In recent years, many methods have been developed to facilitate this combined analysis, usually either through an extension of existing desktop applications or by making use of Jupyter notebooks as frontends. We evaluate here if modern web browser technology, linked to high-performance cloud services, can also be used for these types of analyses.</p><p>For this purpose, we developed a web application as proof-of-concept with the aim to visualize three dimensional geological models provided by a server. The implementation enables the modification of input parameters with assigned probability distributions. This step enables the generation of randomized realizations of models and the quantification and visualization of propagated uncertainties. The software is implemented using HTML Web Components on the client side and a Python server, providing a RESTful API to the open source geological modeling tool “GemPy”. Encapsulating the main components in custom elements, in combination with a minimalistic state management approach and a template parser, allows for high modularity. This enables rapid extendibility of the functionality of the components depending on the user’s needs and an easy integration into existing web platforms.</p><p>Our implementation shows that it is possible to extend and simplify modeling processes by creating an expandable web-based platform for probabilistic modeling, with the aim to increase the usability and to facilitate access to this functionality for a wide range of scientific analyses. The ability to compute models rapidly and with any given device in a web browser makes it flexible to use, and more accessible to a broader range of users.</p>

Three Dimensional Fine Structure Modeling of Haqian1 Wellblock, in Northern Dzungaria Basin, China

2013 ◽  
Vol 734-737 ◽  
pp. 488-492
Author(s):  
Chen Qiang Dong ◽  
Fang Ding ◽  
Wei Wei Ren
Keyword(s):  
Three Dimensional ◽  
Fault Model ◽  
Structure Modeling ◽  
Good Prospect ◽  
Geological Model ◽  
Structure Model ◽  
Geological Modeling ◽  
Geological Exploration ◽  
3D Geological Modeling ◽  
Set Up

Haqian wellblock has a very good prospect in Dzungaria Basin, as it developed many faults and some formations are truncated, the development situation of it is very complicated, in this paper, we applied 3D geological modeling method which is one of the most important technology methods in describing the underground development situation, to illustrate the intricate structure. This geological model involved computer modeling and visualization of geological fault in 3D, the type of data of geological faults based on geological exploration is analyzed, after the fault model and horizon model are built, a whole structure model is finally set up.

Study on Algorithm for Grid Subdivision and Encryption Based on Technology of Three Dimensional Geological Modeling

2013 ◽  
Vol 336-338 ◽  
pp. 1416-1421
Author(s):  
Wei He ◽  
Wen Li Wu
Keyword(s):  
Cross Sections ◽  
Optimal Path ◽  
Three Dimensional ◽  
Surrounding Rock ◽  
Geological Modeling ◽  
Survey Area ◽  
Uniform Size ◽  
3D Geological Modeling ◽  
3D Space ◽  
The Relationship

To achieve 3D grid models which have a non-uniform size and varying properties, we proposed the algorithm of grid subdivision and encryption by human-computer interaction. This algorithm was the technology based on 3D geological modeling, and achieving process has following three steps. Firstly, we converted many 2D cross sections to 3D space, and reconstructed 3D vector models using the algorithm of optimal path suture, and set the property of abnormal body and surrounding rock. Then, achieving 3D grids subdivided according to the relationship between the center of 3D grid and 3D vector models, the properties of 3D grids were determined. Finally, we encrypted grids in the survey area and expansion area, and modified the properties. The results show that the algorithm can realize the conversion from 3D vector models to 3D grid models, and this process is reliable and efficient.

scholarly journals DEVELOPMENT OF THE METHODOLOGY OF 3D GEOLOGICAL MODELING FOR THE RESERVOIRS OF THE PALEOZOIC BASEMENT OF WEST SIBERIA

2017 ◽  
pp. 36-40
Author(s):  
A. I. Tseplyaeva
Keyword(s):  
Economic Effect ◽  
Three Dimensional ◽  
West Siberia ◽  
Dual Porosity ◽  
Geological Model ◽  
Geological Modeling ◽  
3D Geological Modeling ◽  
Paleozoic Basement ◽  
Geological Models

The represented method allows to create three-dimensional geological models of collectors of paleozoic basement, which provides a significant economic effect in the subsequent deposit explorations for typical russian companies - subsoil users, having a limited amount of data. In geological modeling of the collectors of paleozoic basement, the application of the method of dual porosity (double medium) is most relevant. The created approach allows to refine the geological model with an increase of geological reserves by 30 % in reservoirs with natural fracturing.

3D Geological Modeling in Chang109 Block of Changchunling Oilfield

2011 ◽  
Vol 204-210 ◽  
pp. 1891-1894
Author(s):  
Jiang Tao Yu ◽  
Jun Xie ◽  
Ning Ning Meng ◽  
Peng Lin
Keyword(s):  
Three Dimensional ◽  
Sedimentary Facies ◽  
Structure Model ◽  
Geological Modeling ◽  
Reservoir Model ◽  
Well Placement ◽  
3D Geological Modeling ◽  
Reservoir Development ◽  
Development Level ◽  
Geological Information

With the improving of reservoir development level, reservoir geologic research urgently need some new and practical technical methods to describe reservoir more accurately and meticulous. The three-dimensional geological modeling exactly is one of the main aspects to resolve the problem. Take the Chang109 block of Changchunling oilfield for an example. Using Petrel, which is multi-disciplinary and synthetical software for researching reservoir and to establish a 3D geological model as the outstanding characteristic, to build the reservoir model displaying geological information system. That, including the structure model, the sedimentary facies model and the property model, will provide reliable basis potential finding and well placement.

scholarly journals Urban Geological 3D Modeling Based on Papery Borehole Log

2020 ◽  
Vol 9 (6) ◽  
pp. 389
Author(s):  
Xinyu Zhang ◽  
Yi Zhang ◽  
Lirui Xu ◽  
Junqiang Zhang ◽  
Yiping Tian ◽  
...  
Keyword(s):  
3D Modeling ◽  
Three Dimensional ◽  
Structured Data ◽  
Geological Modeling ◽  
Important Data ◽  
3D Geological Modeling ◽  
Borehole Logs ◽  
Automated Algorithms ◽  
Borehole Log ◽  
Extract Information

Borehole log is important data for urban geological 3D modeling. Most of the current borehole logs are stored in a papery form. The construction of a smart city puts forward requirements for the automatic and intelligent 3D modeling of urban geology. However, it is difficult to extract the information from the papery borehole log quickly. What is more, it is unreliable to rely entirely on automated algorithms for modeling without artificial participation, but there is no effective way to integrate geological knowledge into 3D geological modeling currently. Therefore, it is necessary to research how to use existing papery borehole logs efficiently. To overcome the above obstacles, we designed a method that combines structural analysis and layout understanding to extract information from the borehole log. Then, the knowledge-driven three-dimensional geological modeling is proposed based on dynamic profiles. With these methods, the papery borehole log can be converted into structured data which can be used for data analysis directly, and geological knowledge can be integrated into the process of 3D geological modeling. The 3D geological modeling of Xinyang City based on a papery borehole log has been taken as an example to verify the feasibility of the method.

scholarly journals A Stratigraphic Prediction Method Based on Machine Learning

2019 ◽  
Vol 9 (17) ◽  
pp. 3553 ◽  
Author(s):  
Cuiying Zhou ◽  
Jinwu Ouyang ◽  
Weihua Ming ◽  
Guohao Zhang ◽  
Zichun Du ◽  
...  
Keyword(s):  
Machine Learning ◽  
Evaluation Method ◽  
Three Dimensional ◽  
Prediction Method ◽  
Geological Modeling ◽  
Prediction Ability ◽  
3D Geological Modeling ◽  
Planning And Design ◽  
Novel Approach ◽  
Stratum Type

Simulation of a geostratigraphic unit is of vital importance for the study of geoinformatics, as well as geoengineering planning and design. A traditional method depends on the guidance of expert experience, which is subjective and limited, thereby making the effective evaluation of a stratum simulation quite impossible. To solve this problem, this study proposes a machine learning method for a geostratigraphic series simulation. On the basis of a recurrent neural network, a sequence model of the stratum type and a sequence model of the stratum thickness is successively established. The performance of the model is improved in combination with expert-driven learning. Finally, a machine learning model is established for a geostratigraphic series simulation, and a three-dimensional (3D) geological modeling evaluation method is proposed which considers the stratum type and thickness. The results show that we can use machine learning in the simulation of a series. The series model based on machine learning can describe the real situation at wells, and it is a complimentary tool to the traditional 3D geological model. The prediction ability of the model is improved to a certain extent by including expert-driven learning. This study provides a novel approach for the simulation and prediction of a series by 3D geological modeling.

Oil and Gas Reef Facies Reservoir 3D Geological Modeling

2018 ◽  
Vol 785 ◽  
pp. 118-124
Author(s):  
Vadim Aleksandrov ◽  
Marsel Kadyrov ◽  
Zinaida Ufelman ◽  
Vadim Golozubenko ◽  
Vladimir Kopyrin
Keyword(s):  
Oil And Gas ◽  
Three Dimensional ◽  
Geological Modeling ◽  
Reef Facies ◽  
3D Geological Modeling ◽  
Natural Reservoir ◽  
Reef Structure ◽  
Geological Models ◽  
Complex Formations

The paper presents a technique of three-dimensional geological modeling of one of the most complex formations, reef deposits. The research objective is an investigation of how the reef structure genesis influences the three-dimensional geological grid of reef mass. Using the paleogeographic and paleofacies methods of investigation, the conceptual and three-dimensional geological models of a natural reservoir have been constructed.

scholarly journals Temperature Distribution and Heat Flow Density Estimation in Geothermal Areas of Absheron Peninsula

2020 ◽  
Vol 3 (1) ◽  
pp. 26-31
Author(s):  
Aygun Vahid Mammadova
Keyword(s):  
Heat Flow ◽  
Geothermal Energy ◽  
Geothermal Gradient ◽  
Geothermal Field ◽  
Flow Density ◽  
Geothermal Resources ◽  
Deep Wells ◽  
Recoverable Resources ◽  
Middle Pliocene

Geothermal field of the Pliocene complex in the Absheron peninsula, Azerbaijan have been examined on the basis of temperature distributions in over 50 deep wells. Data analysis include variations in geothermal gradient and distribution of heat flow within complexes of Absheron formation of upper Pliocene in age. Geothermal gradients are in the range of 17 to 25oC/km. The heat flow values are found to fall in the range of 50 to 80mW/m2. Estimates have been made of geothermal energy resources up to depths of 6000 meters. The main productive strata are of middle Pliocene in age. The results have allowed identification of geothermal resources with temperature above the 20°C and at depths less than 110-180 meters. Assessments of in-situ and recoverable resources have been made for 21 sites. Model simulations point to perspectives for widespread utilization of geothermal energy in the Absheron peninsula.

Sign in / Sign up

Export Citation Format

Share Document