DART: A Framework for Subsurface Property Mapping
đź“ś Abstract
DART is a parallel framework for subsurface property mapping. It supports the inversion of various data types to estimate properties such as velocity, density, and resistivity. It employs a flexible, object-oriented design to support a wide array of data types and inversion methodologies. This paper delineates DART’s underlying structure, component architecture, and inter-component protocols. It also presents initial experiments performed using DART and highlights its utility in subsurface property mapping.
✨ Summary
The paper “DART: A Framework for Subsurface Property Mapping” presents DART, a parallel framework designed to assist in subsurface property mapping. The framework facilitates the inversion of various geophysical data types to estimate properties like velocity, density, and resistivity. It features a flexible, object-oriented design that supports a multitude of inversion methodologies and data types. The authors discuss DART’s structure, component architecture, and inter-component protocols, along with initial experiments demonstrating its utility.
A web search did not identify significant direct references or citations of this paper in subsequent research or industry applications. The paper seems to have limited influence on later works, suggesting it has likely been more of a niche interest within subsurface property mapping and related fields. The lack of citations may also indicate the framework’s adoption is not widespread or heavily influential in large scale industrial processes or subsequent academic work.