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GeoZond™ AI Geothermal Exploration applies sophisticated artificial intelligence and machine learning technologies to reduce risk and cost in the critical stages of mineral exploration. Our goal is to apply the same technology to reduce the risks of geothermal exploration and development. GeoZond™ AI’s powerful data model offers more intelligent, efficient and flexible geodata processing and integration capabilities than traditional systems. GeoZond™ AI quickly tests the various types of geodatasets that exist for a region, country or geological terrain and automatically creates complex prospectivity analysis maps quickly, efficiently and accurately, delivering value for money. This will ultimately lead to increased rates of discovery of these critical minerals vital to achieving global goals. This capability makes it ideal for early-stage geothermal exploration. Geothermal energy will play a major role in reducing dependence on hydrocarbons while still meeting the world’s energy needs. GeoZond™ AI develops sophisticated pre-drilling technologies that can identify subsurface characteristics suitable for geothermal flow and heat. These technologies will collect subsurface data that will be used by GeoZond™ AI to create high-quality geothermal prospectivity maps that can provide a higher level of confidence in the geothermal potential of a region. GeoZond™ AI prospectivity maps can be used to guide geothermal developers and senior decision makers to make informed decisions regarding the selection of geothermal locations, as well as influence the important decision-making process to attract investment. Importantly, GeoZond™ AI can reduce risk at the pre-drilling levels and allow capital to be spent drilling in areas that offer the highest level of data to support success. METALIN LLC's international team of IT programmers developed GeoZond™ AI, not just as a data processing tool, but as an intelligent platform capable of revolutionizing geothermal exploration. Unlike traditional methods that rely on manual data processing and interpretation, GeoZond™ AI uses advanced machine learning algorithms to automatically analyze vast amounts of geological data. This includes seismic data, drillhole data, geochemical data, gravity and magnetometric measurements, and high-resolution satellite imagery. GeoZond™ AI does more than simply combine this data; it identifies complex correlations and dependencies that may go unnoticed during manual analysis. The system is able to process disparate data coming from different sources, standardizing it and translating it into a single format that machine learning algorithms can understand. This eliminates the labor-intensive process of manual data processing and cleaning, reducing time and cost at the initial exploration stage. Furthermore, GeoZond™ AI accounts for data uncertainty by assigning a weight to each parameter based on the reliability of the source data and the collection methodology. This enables the model to make more accurate predictions and minimize the risks associated with making decisions based on incomplete or inaccurate data. Using deep learning, GeoZond™ AI can detect geothermal reservoirs even in complex geological settings. It can identify promising zones, predict the temperature and volume of geothermal resources, and estimate the potential productivity of wells. The system generates interactive 3D models that allow researchers to visualize geothermal structures and conduct virtual drilling, which helps optimize the placement of exploration wells and minimize environmental damage. GeoZond™ AI is also integrated with simulation modules that allow researchers to model different geothermal field development scenarios, taking into account factors such as well productivity, energy consumption, and economics. This allows researchers to compare different development options and select the optimal strategic approach that maximizes economic efficiency and minimizes risks. In addition, we are actively working on integrating GeoZond™ AI with other systems, such as GIS platforms and data management systems, enabling seamless information exchange and collaboration between researchers and specialists. This will create a single, centralized data management system, increasing the efficiency of work and transparency of the exploration process.
In addition, we are actively working on integrating GeoZond™ AI with other systems, such as GIS platforms and data management systems, enabling seamless information exchange and collaboration between researchers and specialists. This will create a unified, centralized data management system, increasing work efficiency and transparency of the exploration process.

Ultimately, METALIN LLC’s goal is not only to provide effective technology for geothermal exploration, but also to facilitate the transition to sustainable energy. GeoZond™ AI is a key tool in this transition, allowing us to accelerate the pace of discovery of new geothermal resources, reduce costs and risks, and make geothermal energy more accessible and competitive. This helps reduce dependence on fossil fuels and brings the world closer to achieving Net Zero goals. METALIN LLC’s future developments are focused on improving forecasting accuracy, expanding the functionality of GeoZond™ AI to analyze different types of geothermal systems, and integrating the system with the latest technologies, such as satellite monitoring and real-time big data analysis.