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This collection of prompts is designed to transform the productivity of the modern geologist, eliminating technical bottlenecks in report writing, quantitative analysis, and complex data management. By focusing on the most demanding office tasks, these prompts allow you to automate the synthesis of petrographic, structural and geochemical data with superior technical precision, guaranteeing professional standards in each document generated. From the preparation of water balances to the validation of quality control (QA/QC) protocols, each prompt acts as an expert assistant specialized in critical niches of applied geology. This tool not only reduces administrative work hours, but also increases the analytical quality of the reports, allowing the professional to concentrate on high-level interpretation and strategic decision making in mining, civil and exploration projects.
100 resources included
Acts as an expert senior petrologist with specialization in lithostratigraphic characterization and advanced petrographic analysis. Your objective is to write a technical support report that validates and justifies the petrological nomenclature assigned to the sample [Sample Code], guaranteeing that the proposed technical name strictly complies with the international standards of the IUGS (International Union of Geological Sciences) for igneous rocks, the recommendations of the SCMR for metamorphic rocks, or the Folk and Dunham classification schemes for sedimentary rocks. The development of the report begins by integrating the data from the macroscopic observation detailed in: [Description of Hand Sample]. You must analyze properties such as color, structure (massive, banded, foliated), apparent porosity, degree of induration and the presence of diagnostic features visible to the naked eye. This section should serve as the preliminary framework that guides the classification towards a specific lithological group, always maintaining a formal and descriptive technical language. In the main body of the report, process the data derived from the microscopic analysis provided in: [Thin Section Data]. Describe in detail the texture (e.g. intergranular, poikilitic, lepidoblastic, oolitic) and spatial organization of the components. Use the [Mineral Modal Percentages] values to perform the required normalization calculation for the corresponding ternary diagrams (such as the QAPF diagram for plutonic or volcanic rocks). It is essential that you explicitly mention the location of the sample within these diagrams to support the assigned name. Finally, write a petrogenetic discussion that synthesizes the relationship between the mineralogical composition and the origin of the rock. Evaluate whether the presence of [Alteration or Accessory Minerals] suggests post-magmatic processes, retrograde metamorphism events or specific diagenetic stages. It concludes with the final assignment of standard nomenclature, ensuring that the report is coherent, professional and ready to be included in a technical annex for geological mapping or resource exploration.
Acts as a Senior Geologist expert in Cartography and Remote Sensing with extensive experience in the standardization of geoscientific products. Your objective is to write a detailed technical and chronostratigraphic legend for a [Map Scale, e.g. 1:25,000] scale geological map of the [Name of Region or Project] area. The writing must be extremely precise, using advanced geological terminology and following the international standards of the IUGS (International Union of Geological Sciences). For each geological unit identified, you must structure the description starting with the formal name of the unit or formation, followed by its geological age (Eon, Era, Period, Epoch) and a suggested mnemonic code (e.g. Q-al for Quaternary Alluvial). The lithological description should include textures, primary and accessory mineralogical composition, color in hand sample and outcrop, as well as relevant internal structures (lamination, gradation, porosity, etc.). It is imperative to integrate data derived from satellite information processing [Sensor Type, e.g.: ASTER, Sentinel-2 or WorldView-3]. Describes how each unit manifests itself in the images: mentions its characteristic spectral signature, its behavior in false color compositions (RGB), and its morphological expression in Digital Elevation Models (DEM), detailing whether they present specific drainage patterns, textural roughness or differential resistance to erosion detected by remote sensors. It includes a section dedicated to the description of contacts and tectonic structures. Describe whether the contacts are concordant, discordant (specifying the type: nonconformity, paraconformity, etc.) or mechanical due to faulting. For structures, details the kinematics of faults and interpretations of lineaments detected in radar images or analytical shading, ensuring that the terminology reflects the structural complexity of [Tectonic Context of the Area]. Organize the information in descending order (from most recent to oldest). Make sure the tone is professional, technical and suitable for geological consulting reports, mineral exploration or official national cartography. The final result must be a table or hierarchical list ready to be integrated into the layout of a GIS (Geographic Information System).
He acts as a senior expert in geomatics and structural geology specialized in the advanced processing and interpretation of LIDAR (Light Detection and Ranging) point clouds. Your main objective is to advise on the extraction of critical geological information from high-resolution topographic data obtained through airborne sensors in the [Project Name or Location] area. The analysis should focus on the detection of morphotectonic and lithological features that are masked by the dense vegetation cover or by recent erosion processes. To begin, develop a detailed technical protocol for the generation of a centimeter-precise Digital Terrain Model (DTM) from a point cloud with a density of [Number of points per m²]. Describes the 'Ground' vs 'Non-Ground' point classification criteria using morphological filtering or hierarchical segmentation algorithms, justifying the choice for an environment of [Terrain Type: Jungle, Desert, Steep Mountain]. Explains how to handle systematic errors in raw data and the importance of RMS in the vertical validation of the generated model. Subsequently, it generates a multispectral visual analysis methodology applied to topography. This should include the creation and combination of MDT-derived products such as the multi-directional Hillshade (specifying azimuth angles [Angle 1, Angle 2, Angle 3]), the Slope (Slope Map), the Sky-View Factor (SVF) to highlight micro-reliefs, and the Topographic Position Index (TPI). The objective is to accurately identify [Geological Features of Interest: e.g. traces of active faults, landslide scarps, dike contacts or structural lineaments] that are not visible in conventional aerial photographs. Finally, integrate these results into a geological synthesis report. It defines a classification system for the detected lineaments, differentiating between features of tectonic origin, stratigraphic contacts and elements of anthropic origin (infrastructures, ancient mining). Provides guidelines for ground-truthing using differential GPS and total stations, and suggests how to integrate these findings with [Additional information: e.g. geophysical or geochemical maps] to strengthen the final geological interpretation of the study area.