scholarly journals dh2loop 1.0: an open-source python library for automated processing and classification of geological logs

2021 ◽  
Author(s):  
Ranee Joshi ◽  
Kavitha Madaiah ◽  
Mark Jessell ◽  
Mark Lindsay ◽  
Guillaume Pirot
Keyword(s):  
Open Source ◽  
Mineral Exploration ◽  
String Matching ◽  
Drill Hole ◽  
Mine Planning ◽  
Geological Survey ◽  
Shallow Subsurface ◽  
Database Structure ◽  
Automated Processing ◽  
Geoscientific Data

Abstract. Exploration and mining companies rely on geological drill core logs to target and obtain initial information on geology of the area to build models for prospectivity mapping or mine planning. A huge amount of legacy drilling data is available in geological survey but cannot be used directly as it is compiled and recorded in an unstructured textural form and using different formats depending on the database structure, company, logging geologist, investigation method, investigated materials and/or drilling campaign. It is subjective and plagued with uncertainty as it is likely to have been conducted by tens to hundreds geologists, all of whom would have their own personal biases. However, this is valuable information that adds value to geoscientific data for research and exploration, specifically in efficiently targeting sustainable new discoveries and providing better shallow subsurface constraints for 3D geological models. dh2loop (https://github.com/Loop3D/dh2loop) is an open-source python library that provides the functionality to extract and standardize geologic drill hole data and export it into readily importable interval tables (collar, survey, lithology). In this contribution, we extract, process and classify lithological logs from the Geological Survey of Western Australia Mineral Exploration Reports Database in the Yalgoo-Singleton Greenstone Belt (YSGB) region. For this study case, the extraction rate for collar, survey and lithology data is respectively 93 %, 865 and 34 %. It also addresses the subjective nature and variability of nomenclature of lithological descriptions within and across different drilling campaigns by using thesauri and fuzzy string matching. 86% of the extracted lithology data is successfully matched to lithologies in the thesauri. Since this process can be tedious, we attempted to test the string matching with the comments, which resulted to a matching rate of 16 % (7,870 successfully matched records out of 47,823 records). The standardized lithological data is then classified into multi-level groupings that can be used to systematically upscale and downscale drill hole data inputs for multiscale 3D geological modelling. dh2loop formats legacy data bridging the gap between utilization and maximization of legacy drill hole data and drill hole analysis functionalities available in existing python libraries (lasio, welly, striplog).

scholarly journals <i>dh2loop</i> 1.0: an open-source Python library for automated processing and classification of geological logs

2021 ◽  
Vol 14 (11) ◽  
pp. 6711-6740
Author(s):  
Ranee Joshi ◽  
Kavitha Madaiah ◽  
Mark Jessell ◽  
Mark Lindsay ◽  
Guillaume Pirot
Keyword(s):  
Open Source ◽  
Mineral Exploration ◽  
String Matching ◽  
Drill Hole ◽  
Geological Survey ◽  
Database Structure ◽  
Automated Processing ◽  
Study Case ◽  
Textual Form

Abstract. A huge amount of legacy drilling data is available in geological survey but cannot be used directly as they are compiled and recorded in an unstructured textual form and using different formats depending on the database structure, company, logging geologist, investigation method, investigated materials and/or drilling campaign. They are subjective and plagued by uncertainty as they are likely to have been conducted by tens to hundreds of geologists, all of whom would have their own personal biases. dh2loop (https://github.com/Loop3D/dh2loop, last access: 30 September 2021​​​​​​​) is an open-source Python library for extracting and standardizing geologic drill hole data and exporting them into readily importable interval tables (collar, survey, lithology). In this contribution, we extract, process and classify lithological logs from the Geological Survey of Western Australia (GSWA) Mineral Exploration Reports (WAMEX) database in the Yalgoo–Singleton greenstone belt (YSGB) region. The contribution also addresses the subjective nature and variability of the nomenclature of lithological descriptions within and across different drilling campaigns by using thesauri and fuzzy string matching. For this study case, 86 % of the extracted lithology data is successfully matched to lithologies in the thesauri. Since this process can be tedious, we attempted to test the string matching with the comments, which resulted in a matching rate of 16 % (7870 successfully matched records out of 47 823 records). The standardized lithological data are then classified into multi-level groupings that can be used to systematically upscale and downscale drill hole data inputs for multiscale 3D geological modelling. dh2loop formats legacy data bridging the gap between utilization and maximization of legacy drill hole data and drill hole analysis functionalities available in existing Python libraries (lasio, welly, striplog).

Upernavik 98: reconnaissance mineral exploration in North-West Greenland

1999 ◽  
pp. 39-45 ◽  
Author(s):  
Bjørn Thomassen ◽  
Johannes Kyed ◽  
Agnete Steenfelt ◽  
Tapani Tukiainen
Keyword(s):  
Mineral Exploration ◽  
Mining Industry ◽  
Field Work ◽  
Geological Survey ◽  
Original Series ◽  
West Greenland ◽  
North West ◽  
One Year

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Thomassen, B., Kyed, J., Steenfelt, A., & Tukiainen, T. (1999). Upernavik 98: reconnaissance mineral exploration in North-West Greenland. Geology of Greenland Survey Bulletin, 183, 39-45. https://doi.org/10.34194/ggub.v183.5203 _______________ The Upernavik 98 project is a one-year project aimed at the acquisition of information on mineral occurrences and potential in North-West Greenland between Upernavik and Kap Seddon, i.e. from 72°30′ to 75°30′N (Fig. 1A). A similar project, Karrat 97, was carried out in 1997 in the Uummannaq region 70°30′–72°30′N (Steenfelt et al. 1998a). Both are joint projects between the Geological Survey of Denmark and Greenland (GEUS) and the Bureau of Minerals and Petroleum (BMP), Government of Greenland, and wholly funded by the latter. The main purpose of the projects is to attract the interest of the mining industry. The field work comprised systematic drainage sampling, reconnaissance mineral exploration and spectroradiometric measurements of rock surfaces.

scholarly journals The open geohazard widget to perform environmental risk analysis

2016 ◽  
Author(s):  
Carlo Cipolloni ◽  
Matija Krivic ◽  
Matevž Novak ◽  
Marco Pantaloni
Keyword(s):  
Risk Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Environmental Risk ◽  
Geological Survey ◽  
Border Area ◽  
Probability Map ◽  
Cross Border ◽  
Final Data ◽  
Environmental Risk Analysis

In the framework of European project eENVplus (hhtp://www.eenvplus.eu) the Geological Survey of Italy and Geological Survey of Slovenia in collaboration with some technical partners developed a pilot to perform several geohazard analyses in the cross-border area. Several web processing services to perform hazard probability map have been developed using open-source software and a javaScript client widget based on Cesium1.11 to manage the pilot has been designed as well. The final data have been prepared in INSPIRE compliance format to be in line with European legislation and directive and data are provided with an open licence.

scholarly journals An open-source semi-automated processing chain for urban obia classification

10.3990/2.367 ◽  
2016 ◽  
Author(s):  
T. Grippa ◽  
M. Lennert ◽  
B. Beaumont ◽  
S. Vanhuysse ◽  
N. Stephenne ◽  
...  
Keyword(s):  
Open Source ◽  
Processing Chain ◽  
Automated Processing

The development of cross hole seismic techniques and case studies

1989 ◽  
Vol 20 (2) ◽  
pp. 127 ◽  
Author(s):  
G. Duncan ◽  
M. Downey ◽  
L. Leung ◽  
P. Harman
Keyword(s):  
Seismic Tomography ◽  
Iron Ore ◽  
Mineral Exploration ◽  
Coal Mines ◽  
Seismic Energy ◽  
Field Trials ◽  
Mine Planning ◽  
Broken Hill ◽  
Underground Coal Mines ◽  
Lead Zinc

This paper outlines the development of a cross hole seismic tomography package by The Broken Hill Proprietary Co. Ltd. (BHP), as a tool for mineral exploration and mine planning. The methodology of cross hole seismic tomography, field procedures, instrumentation, processing software, and field trials are described.Explosives are principally used as the source of seismic energy. A repetitive source, based on rapid hydrogen-oxygen combustion, has also been developed. Signals are detected by geophone-based detector strings, and recorded by a data acquisition system developed by BHP. Tomographic imaging is conducted by the Algebraic Reconstruction, Back Projection and Simultaneous Iterative Reconstruction techniques.Surveys have been conducted in a number of different geological environments, and include: lead-zinc, iron ore and manganese exploration leases and mines to locate mineralisation and overburden interfaces; underground coal mines to locate regions of mining induced stress; and open cut and underground coal mines to locate coal and overburden contacts. The results of these surveys are discussed.

The aeromagnetic survey program of the Geological Survey of Canada: contribution to regional geological mapping and mineral exploration

1993 ◽  
Vol 30 (2) ◽  
pp. 243-260 ◽  
Author(s):  
D. J. Teskey ◽  
P. J. Hood ◽  
L. W. Morley ◽  
R. A. Gibb ◽  
P. Sawatzky ◽  
...  
Keyword(s):  
Mineral Exploration ◽  
National Research Council ◽  
High Sensitivity ◽  
Geological Mapping ◽  
Geological Survey ◽  
The Arctic ◽  
Navigation Systems ◽  
Current Standard ◽  
Private Industry ◽  
Aeromagnetic Survey

The aeromagnetic survey operations of the Geological Survey of Canada (GSC) began in 1946, utilizing a magnetometer in a bird system towed by a Royal Canadian Air Force Anson. Subsequent early operations were carried out by the GSC-operated Canso and Aero Commander aircraft. In 1961, the GSC in-house survey team formed the nucleus of a contract surveys group set up to monitor a new program established to complete the aeromagnetic mapping of the Canadian Shield in 12 years on a cost-sharing basis with the provinces. Today, surveys are carried out under contract by light twin-engine aircraft such as the Cessna 404 and even, in some cases, single-engine aircraft that utilize compact computer-controlled data acquisition and navigation systems and inboard magnetometer installations. Early systems were capable of resolution of only a few nanoteslas (nT) compared to the current standard of 0.1 nT or less, and flight path positioning with 35 mm film and photomosaics or topographical maps was extremely challenging. Despite these limitations, the careful selection of survey parameters and attention given to quality control have resulted in a world-class aeromagnetic data base that has contributed significantly to regional geological mapping and to mineral and oil exploration in Canada. Concurrently, the GSC carried out research programs into the development of instrumentation and into processing, interpretation, and enhancement techniques. In 1968, the GSC acquired its own platform, a Beechcraft B80 Queenair, which was used to develop high-sensitivity techniques, and an inboard gradiometer system, which was transferred to private industry in 1983. The GSC, in cooperation with the Flight Research Laboratory of the National Research Council of Canada, has also conducted a program of research into magnetometry and navigation combined with aeromagnetic studies of the Arctic since 1962.

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