2011
DOI: 10.1127/1860-1804/2011/0162-0353
|View full text |Cite
|
Sign up to set email alerts
|

3D structural model of the Federal State of Hesse (Germany) for geopotential evaluation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
20
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
2
1

Relationship

5
3

Authors

Journals

citations
Cited by 12 publications
(20 citation statements)
references
References 0 publications
0
20
0
Order By: Relevance
“…The structural 3D model of Hesse (Figure 2a, [32]) relied on a large database and was constructed with the modelling software GOCAD [33].…”
Section: Structural Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The structural 3D model of Hesse (Figure 2a, [32]) relied on a large database and was constructed with the modelling software GOCAD [33].…”
Section: Structural Modelmentioning
confidence: 99%
“…In particular the effects of cold recharge and convective upflow of heated fluids on a regional scale [11] need to be better quantified in order to predict geothermal potentials. In red, three important main faults at the surface are outlined (modified after Arntd et al [32]).…”
Section: Introductionmentioning
confidence: 99%
“…This method optimizes the use of heterogeneous data as constraints for the interpolation and enables data-weighting under different aspects. DSI is widely used for 3D surface modeling and describing 3D objects in the literature [19,22,38], because the algorithm minimizes the roughness (creates smooth surfaces), weights the data (from essential to insignificant), and uses constraints (hard vs. soft). Hard constraints restrict the degrees of freedom of surface nodes during interpolation, and soft constraints are honored in a least-squares sense by DSI [19].…”
Section: Skua-gocad and The Dsi Algorithmmentioning
confidence: 99%
“…The potential of 3D geological modeling is widely used in economic geology for resource estimations, to understand the processes of enrichment (e.g., [12][13][14][15]), and to provide more information on depth [16]. It is a powerful tool in structural geology for the visualization of complex fault systems, in particular if additional geophysical data are available (e.g., [17][18][19][20][21][22][23][24]). Concurrent modeling during the exploration stage of a deposit delivers essential information on the distribution of the elements within enrichment zones of the deposit, creates an impression of the 3D geometry of the system, and can direct further targeting.…”
Section: Introductionmentioning
confidence: 99%
“…The interand extrapolation in areas without available borehole data implicate higher uncertainties. The reservoir temperature from the temperature models of Arndt et al (2011) and Rühaak et al (2014) is used as production temperature. For the injection temperature three scenarios are assumed: 90 • C for power generation with binary power plants, 50 • C for direct heat production and 30 • C for greenhouse farming.…”
Section: Assessment Of the Hydrothermal Potentialmentioning
confidence: 99%