Blog – Analysis and expert opinion 5 MIN. READ SHARE Project Description GEMA is an 18-month project (August 2023 – February 2025) that aims to develop innovative solutions by integrating artificial intelligence in the interpretation of geophysical data. Its main objective is the creation of models based on deep neural networks that combine multiple data sources, such as geophysics (magnetic, radiometric and hyperspectral), satellite imagery and digital terrain models. These models will allow the generation of ultra-high-resolution maps, improving the accuracy and speed of geological interpretation. The project aims to reduce the time and costs associated with the manual interpretation of large volumes of data, improving the efficiency of exploration processes. GEMA is led by Xcalibur and is part of a wider initiative focused on the development of artificial intelligence applied to geophysics. Project Results and Milestones Achieved Optimisation of Geophysical Data using Tie Level (Tabular Structure) The Tie Level tool has optimised the correction of artefacts in geophysical data through an approach based on Bayesian models and spatial RBF (Radial Basis Function Interpolation). Its implementation has significantly reduced the need for manual adjustments, providing more homogeneous and accurate results in less time. Milestones achieved: More than 250,000 geophysical data points in the study regions have been corrected, reducing processing time by 40 % compared to traditional methods. The accuracy of the interpolation models was improved by 15%, increasing the reliability of the data used in exploration. Geographical scope of implementation: Finland Mongolia France Detection of Anomalies in Magnetic Lineaments with Computer Vision (CNN Lineaments) The CNN Lineaments tool has been developed for the automatic detection of geological structures using Computer Vision techniques and segmentation of geophysical images. Its implementation has optimised the interpretation of magnetic lineaments, facilitating the identification of structural anomalies. Milestones achieved: Identification of more than 1,200 magnetic lineaments in the study areas, with a 35 % reduction in the need for manual corrections. Successful application of the model in Nigeria and La Guajira (Colombia), where its effectiveness has been validated with 90 % accuracy in anomaly detection. Geographical scope of implementation: Karamoja, Uganda Katanga, Democratic Republic of Congo (DRC) Nigeria (model validation) La Guajira, Colombia (model validation). Magnetic Variation Correction in Directional Drilling Magnetic variation correction tools have been developed to improve the accurate positioning of boreholes in exploration and resource extraction. This has optimised borehole orientation, reducing errors and increasing operational efficiency. In addition, work has been done on estimating electromagnetic fields in locations without measurement stations, facilitating data acquisition in remote areas. Milestones achieved: Improved borehole positioning accuracy by 25 %, reducing borehole trajectory errors. Generation of an electromagnetic field estimation model that has enabled data collection in more than 20 locations without measurement stations in Canada. Geographical scope of implementation: The model has been trained and validated using data from the following regions in Canada, where Directional Drilling activity requires high accuracy: Alberta (majority of validation stations). British Columbia (Wells Gray) Saskatchewan (Weyburn, Rabbit Lake) Northwestern Territories (Fort Simpson, Fort Smith) Funding Total EU funding allocated: 1,206,071.80 €. Total project budget: 1,418,908.00 €. < SEE PREVIOUS NEW SEE NEXT NEW > < > Related news Blog – Analysis and expert opinion The demand for critical minerals is expected to quadruple by 2040 SEE MORE > Blog – Analysis and expert opinion Startup Of The Week: Xcalibur Smart Mapping SEE MORE > Blog – Analysis and expert opinion Low-Level Flights to Image Geology Over Parts of Louisiana, Mississippi, and Illinois | U.S. Geological Survey SEE MORE > Blog – Analysis and expert opinion Reducing CO2 emissions from deforestation and forest degradation: understanding REDD+ SEE MORE > Announcements Blog – Analysis and expert opinion The power of remote sensing in monitoring land use changes SEE MORE > Blog – Analysis and expert opinion CRMA: why Europe’s raw materials revolution needs Smart data SEE MORE > Blog – Analysis and expert opinion Outlining the danger: the vital role of risk maps in the battle against fires SEE MORE > Blog – Analysis and expert opinion Unveiling advanced techniques: A-DInSAR for terrain deformation detection SEE MORE > Contact us. FILL THE FORM
SHARE Project Description GEMA is an 18-month project (August 2023 – February 2025) that aims to develop innovative solutions by integrating artificial intelligence in the interpretation of geophysical data. Its main objective is the creation of models based on deep neural networks that combine multiple data sources, such as geophysics (magnetic, radiometric and hyperspectral), satellite imagery and digital terrain models. These models will allow the generation of ultra-high-resolution maps, improving the accuracy and speed of geological interpretation. The project aims to reduce the time and costs associated with the manual interpretation of large volumes of data, improving the efficiency of exploration processes. GEMA is led by Xcalibur and is part of a wider initiative focused on the development of artificial intelligence applied to geophysics. Project Results and Milestones Achieved Optimisation of Geophysical Data using Tie Level (Tabular Structure) The Tie Level tool has optimised the correction of artefacts in geophysical data through an approach based on Bayesian models and spatial RBF (Radial Basis Function Interpolation). Its implementation has significantly reduced the need for manual adjustments, providing more homogeneous and accurate results in less time. Milestones achieved: More than 250,000 geophysical data points in the study regions have been corrected, reducing processing time by 40 % compared to traditional methods. The accuracy of the interpolation models was improved by 15%, increasing the reliability of the data used in exploration. Geographical scope of implementation: Finland Mongolia France Detection of Anomalies in Magnetic Lineaments with Computer Vision (CNN Lineaments) The CNN Lineaments tool has been developed for the automatic detection of geological structures using Computer Vision techniques and segmentation of geophysical images. Its implementation has optimised the interpretation of magnetic lineaments, facilitating the identification of structural anomalies. Milestones achieved: Identification of more than 1,200 magnetic lineaments in the study areas, with a 35 % reduction in the need for manual corrections. Successful application of the model in Nigeria and La Guajira (Colombia), where its effectiveness has been validated with 90 % accuracy in anomaly detection. Geographical scope of implementation: Karamoja, Uganda Katanga, Democratic Republic of Congo (DRC) Nigeria (model validation) La Guajira, Colombia (model validation). Magnetic Variation Correction in Directional Drilling Magnetic variation correction tools have been developed to improve the accurate positioning of boreholes in exploration and resource extraction. This has optimised borehole orientation, reducing errors and increasing operational efficiency. In addition, work has been done on estimating electromagnetic fields in locations without measurement stations, facilitating data acquisition in remote areas. Milestones achieved: Improved borehole positioning accuracy by 25 %, reducing borehole trajectory errors. Generation of an electromagnetic field estimation model that has enabled data collection in more than 20 locations without measurement stations in Canada. Geographical scope of implementation: The model has been trained and validated using data from the following regions in Canada, where Directional Drilling activity requires high accuracy: Alberta (majority of validation stations). British Columbia (Wells Gray) Saskatchewan (Weyburn, Rabbit Lake) Northwestern Territories (Fort Simpson, Fort Smith) Funding Total EU funding allocated: 1,206,071.80 €. Total project budget: 1,418,908.00 €.
Project Description GEMA is an 18-month project (August 2023 – February 2025) that aims to develop innovative solutions by integrating artificial intelligence in the interpretation of geophysical data. Its main objective is the creation of models based on deep neural networks that combine multiple data sources, such as geophysics (magnetic, radiometric and hyperspectral), satellite imagery and digital terrain models. These models will allow the generation of ultra-high-resolution maps, improving the accuracy and speed of geological interpretation. The project aims to reduce the time and costs associated with the manual interpretation of large volumes of data, improving the efficiency of exploration processes. GEMA is led by Xcalibur and is part of a wider initiative focused on the development of artificial intelligence applied to geophysics. Project Results and Milestones Achieved Optimisation of Geophysical Data using Tie Level (Tabular Structure) The Tie Level tool has optimised the correction of artefacts in geophysical data through an approach based on Bayesian models and spatial RBF (Radial Basis Function Interpolation). Its implementation has significantly reduced the need for manual adjustments, providing more homogeneous and accurate results in less time. Milestones achieved: More than 250,000 geophysical data points in the study regions have been corrected, reducing processing time by 40 % compared to traditional methods. The accuracy of the interpolation models was improved by 15%, increasing the reliability of the data used in exploration. Geographical scope of implementation: Finland Mongolia France Detection of Anomalies in Magnetic Lineaments with Computer Vision (CNN Lineaments) The CNN Lineaments tool has been developed for the automatic detection of geological structures using Computer Vision techniques and segmentation of geophysical images. Its implementation has optimised the interpretation of magnetic lineaments, facilitating the identification of structural anomalies. Milestones achieved: Identification of more than 1,200 magnetic lineaments in the study areas, with a 35 % reduction in the need for manual corrections. Successful application of the model in Nigeria and La Guajira (Colombia), where its effectiveness has been validated with 90 % accuracy in anomaly detection. Geographical scope of implementation: Karamoja, Uganda Katanga, Democratic Republic of Congo (DRC) Nigeria (model validation) La Guajira, Colombia (model validation). Magnetic Variation Correction in Directional Drilling Magnetic variation correction tools have been developed to improve the accurate positioning of boreholes in exploration and resource extraction. This has optimised borehole orientation, reducing errors and increasing operational efficiency. In addition, work has been done on estimating electromagnetic fields in locations without measurement stations, facilitating data acquisition in remote areas. Milestones achieved: Improved borehole positioning accuracy by 25 %, reducing borehole trajectory errors. Generation of an electromagnetic field estimation model that has enabled data collection in more than 20 locations without measurement stations in Canada. Geographical scope of implementation: The model has been trained and validated using data from the following regions in Canada, where Directional Drilling activity requires high accuracy: Alberta (majority of validation stations). British Columbia (Wells Gray) Saskatchewan (Weyburn, Rabbit Lake) Northwestern Territories (Fort Simpson, Fort Smith) Funding Total EU funding allocated: 1,206,071.80 €. Total project budget: 1,418,908.00 €.
Home News Growth in Demand for “Energy Transition Minerals” Drives Expansion for Xcalibur Announcements 3 MIN. READ Growth in Demand for “Energy Transition Minerals” Drives Expansion for Xcalibur Warning: Constant template_defecto already defined in /app/wp-content/themes/xcalibur/blocks/Columns/index.php on line 24 SHARE At the end of June this year, Xcalibur Airborne Geophysics completed its acquisition of all the CGG Multiphysics businesses, except the multi-client library Minute to Read by GEO ExPro Xcalibur has been in operation since 2002 with over 4 million line-km of data collected. It has operated successfully in most countries in Africa as well as the Middle East and Canada. The company has offices in Spain, South Africa, and Colombia and operates a fleet of aircraft which allows them to collect data in challenging environments due to their low-level flying ability and power to weight ratios. Example of Airborne Gravity Gradiometry (AGG) data used to correlate structures between seismic lines.Source: Xcalibur Multiphysics. The new combined group will be named Xcalibur Multiphysics and will be able to offer these services on a global basis with additional offices located in North and South America, Europe, Africa, and Australia. The enlarged company is hoping to take advantage of the projected increase in exploration activities prompted by the surge in demand for minerals resources and underground water, related to the energy transition, green energies, and sustainability challenges. They are currently also engaged in several R&D projects, including the application of Artificial Intelligence and Machine Learning in natural resources and sustainable exploration. < SEE PREVIOUS NEW SEE NEXT NEW > < > Related news Announcements Spanish participation in a key European project on critical raw materials SEE MORE > Announcements Copper at the crossroads: securing the mineral backbone of the global energy transition SEE MORE > Announcements Xcalibur Smart Mapping joins forces with the Ministry of Water Resources to transform groundwater management at Kokzhide SEE MORE > Announcements Xcalibur Smart Mapping joins UN Global Compact, the World’s Largest Corporate Sustainability Initiative SEE MORE > Announcements Xcalibur Smart Mapping and Baiterek Holding Forge Strategic Partnership to Advance Geophysical Exploration in Kazakhstan SEE MORE > Announcements Xcalibur Smart Mapping, Xcalibur Foundation and African Gifted Foundation renew commitment to women’s leadership in Africa SEE MORE > Announcements Xcalibur Smart Mapping Expands Capabilities with Acquisition of PGW’s Interpretation Division SEE MORE > Announcements Xcalibur Smart Mapping, backed by Kartesia Asset Finance and Miralta Credit Opportunities, secures €40 million in funding to expand its aircraft fleet SEE MORE > Announcements Einstein-First project: Supporting a brighter future in science education SEE MORE > Contact us. FILL THE FORM
SHARE At the end of June this year, Xcalibur Airborne Geophysics completed its acquisition of all the CGG Multiphysics businesses, except the multi-client library Minute to Read by GEO ExPro Xcalibur has been in operation since 2002 with over 4 million line-km of data collected. It has operated successfully in most countries in Africa as well as the Middle East and Canada. The company has offices in Spain, South Africa, and Colombia and operates a fleet of aircraft which allows them to collect data in challenging environments due to their low-level flying ability and power to weight ratios. Example of Airborne Gravity Gradiometry (AGG) data used to correlate structures between seismic lines.Source: Xcalibur Multiphysics. The new combined group will be named Xcalibur Multiphysics and will be able to offer these services on a global basis with additional offices located in North and South America, Europe, Africa, and Australia. The enlarged company is hoping to take advantage of the projected increase in exploration activities prompted by the surge in demand for minerals resources and underground water, related to the energy transition, green energies, and sustainability challenges. They are currently also engaged in several R&D projects, including the application of Artificial Intelligence and Machine Learning in natural resources and sustainable exploration.
At the end of June this year, Xcalibur Airborne Geophysics completed its acquisition of all the CGG Multiphysics businesses, except the multi-client library Minute to Read by GEO ExPro Xcalibur has been in operation since 2002 with over 4 million line-km of data collected. It has operated successfully in most countries in Africa as well as the Middle East and Canada. The company has offices in Spain, South Africa, and Colombia and operates a fleet of aircraft which allows them to collect data in challenging environments due to their low-level flying ability and power to weight ratios. Example of Airborne Gravity Gradiometry (AGG) data used to correlate structures between seismic lines.Source: Xcalibur Multiphysics. The new combined group will be named Xcalibur Multiphysics and will be able to offer these services on a global basis with additional offices located in North and South America, Europe, Africa, and Australia. The enlarged company is hoping to take advantage of the projected increase in exploration activities prompted by the surge in demand for minerals resources and underground water, related to the energy transition, green energies, and sustainability challenges. They are currently also engaged in several R&D projects, including the application of Artificial Intelligence and Machine Learning in natural resources and sustainable exploration.