scholarly journals Loop - Enabling 3D stochastic geological modelling

2019 ◽  
Vol 2019 (1) ◽  
pp. 1-3
Author(s):  
Laurent Ailleres ◽  
Mark Jessell ◽  
Eric de Kemp ◽  
Guillaume Caumon ◽  
Florian Wellmann ◽  
...  
Keyword(s):  
2020 ◽  
Author(s):  
Tim Kearsey ◽  
◽  
Stephanie Bricker ◽  
Katie Whitbread ◽  
Ricky Terrington ◽  
...  

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.


Impact ◽  
2021 ◽  
Vol 2021 (4) ◽  
pp. 46-47
Author(s):  
Keisuke Makibayashi

Three of the four main islands in Japan are separated by the Seto Inland Sea in the country's Setouchi region. This area is an important inland sea of Japan and is interesting for researchers in various fields because of its historically active exchange and trade. Associate Professor Keisuke Makibayashi, Research Center for Asian Archaeology of Industry and Culture, Ehime University, Japan, is involved in a project focused on the Miyan'na site, which is a salt-making site from the Kofun period and the Kamakura period on a small island in the Seto Inland Sea in Ehime Prefecture that is seeking to restore the lost landscape. This work involves the use of different research methods such as particle size analysis, soil physics and chemistry analysis, as well as organising a cross-sectional view of the Miyan'na site, performing 3D geological modelling, using scientific data to explain beach ridges and understand historical human activities, and performing excavations. Ultimately, the researchers want to return the landscape to the local community, thereby contributing to the people in the area. The research is also expected to make important contributions to archaeology, history and environmental science.


2021 ◽  
Vol 6 (3) ◽  
pp. 61-70
Author(s):  
Konstantin S. Grigoryev ◽  
Andrey V. Roshchin ◽  
Kseniya S. Telnova ◽  
Rinat M. Valiev ◽  
Alexey M. Stolnikov ◽  
...  

Background. An optimal exploration strategy creates a significant share in value of project on exploration stage. The paper describes an example of solving the following tasks: determining the feasibility of additional exploration drilling; evaluating the value of drilling of one or more exploration wells; determining the optimal placement for exploration wells and drilling order. Authors presenting the modification of VoI (Value of Information) method and its application. Materials and methods. Complex probabilistic models were created summarizing main uncertainties and limitations, both geological, technical and technological. At the first stage three equiprobable geological concepts were made. For each concept probabilistic geological modelling was proceeded and then realizations corresponding to values of reserves P10, P50, and P90 were selected. Further, detailed production forecasts and economic estimates were performed. The analysis used the well pad and the corresponding area for exploration drilling as a unit of calculation. In the article the authors introduced the concept of remaining uncertainty. Application of modified VoI method allowed to form ‘dynamic’ (i.e. depending on exploration wells drilling order) range of areas for additional exploration which provide the best decrease of remaining uncertainty. An additional exploration strategy has been formed, which includes the necessary and sufficient number of wells and their drilling order. A decision tree was created depending on the success or failure of each subsequent exploration well. Results. The use of the modified VoI approach made it possible to achieve the objectives and obtain economical estimates, all of which combined to facilitate the adoption of decisions. As a result, a program for two exploration well drilling was created which would reduce the uncertainty by 90% from its initial value. Conclusions: The adopted VoI method could be applied to fields at the stage of additional exploration as well as to fields at early exploration stage to develop an exploration drilling strategy.


2021 ◽  
Author(s):  
Mark Jessell

<p>In geological settings characterised by folded and faulted strata, and where good field data exist, we have been able to automate a large part of the 3D modelling process directly from the raw geological database (maps, bedding orientations and drillhole data). The automation is based upon the deconstruction of the geological maps and databases into positional, gradient and spatial and temporal topology information, and the combination of deconstructed data into augmented inputs for 3D geological modelling systems, notably LoopStructural and GemPy.</p><p>When we try to apply this approach to more complex terranes, such as greenstone belts, we come across two types of problem:</p><ul><li>1) Insufficient structural data, since the more complexly deformed the geology, the more we need to rely on secondary structural information, such as fold axial traces and vergence to ‘solve’ the structures. Unfortunately these types of data are not always stored in national geological databases. One approach to overcoming this is to analyse the simpler (i.e. bedding) data to try and estimate the secondary information automatically.</li> </ul><p> </p><ul><li>2) The available information is unsuited to the logic of the modelling system. Most modern modelling platforms assume the knowledge of a chronostratigraphic hierarchy, however, especially in more complexly deformed regions, a lithostratigraphy may be all that is available. Again a pre-processing of the map and stratigraphic information may be possible to overcome this problem.</li> </ul><p>This presentation will highlight the progress that has been made, as well as the road-blocks to universal automated 3D geological model construction.</p><p> </p><p>We acknowledge the support of the MinEx CRC and the Loop: Enabling Stochastic 3D Geological Modelling (LP170100985) consortia. The work has been supported by the Mineral Exploration Cooperative Research Centre whose activities are funded by the Australian Government's Cooperative Research Centre Programme. This is MinEx CRC Document 2020/xxx.</p><p> </p>


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