Geo-Sketcher: Rapid 3D Geological Modeling using Geological and Topographic Map Sketches

TL;DR

Geo-Sketcher is a rapid, sketch-based method for creating accurate 3D geological models directly from geological and topographic map sketches, streamlining the traditionally complex modeling process.

Contribution

It introduces a novel graph-based representation and interpolation technique using Hermite-Birkhoff Radial Basis Functions for efficient geological modeling from sketches.

Findings

Enables automatic computation of rock layer ages.

Supports embedding geological rules in sketches.

Produces valid 3D models with varying complexity.

Abstract

The construction of 3D geological models is an essential task in oil/gas exploration, development and production. However, it is a cumbersome, time-consuming and error-prone task mainly because of the model's geometric and topological complexity. The models construction is usually separated into interpretation and 3D modeling, performed by different highly specialized individuals, which leads to inconsistencies and intensifies the challenges. In addition, the creation of models following geological rules is paramount for properly depicting static and dynamic properties of oil/gas reservoirs. In this work, we propose a sketch-based approach to expedite the creation of valid 3D geological models by mimicking how domain experts interpret geological structures, allowing creating models directly from interpretation sketches. Our sketch-based modeler (Geo-Sketcher) is based on sketches of standard 2D topographic and geological maps, comprised of lines, symbols and annotations. We developed a graph-based representation to enable (1) the automatic computation of the relative ages of rock series and layers, and (2) the embedding of specific geological rules directly in the sketching. We introduce the use of Hermite-Birkhoff Radial Basis Functions to interpolate the geological map constraints, and demonstrate the capabilities of our approach with a variety of results with different levels of complexity.