Horizon RWT

Context & intent

Different file formats and channel meanings can make comparisons difficult. An analytical interface needs to expose mapping choices and the assumptions behind an estimate.

Give specialist analysis a usable, inspectable workflow from imported data to comparison and export.

Project context and development approach

This is an independent project from my portfolio across FractalDesignZ and ZuluYokohama. My practice centers on directing work with substantial assistance from agentic AI and development harnesses. The mechanisms and evidence below describe this project; they do not attribute every component to manual authorship or a specialist review.

Read how I work with AI →

Implemented mechanisms

1. Imports LAS, CSV, and JSON well data with channel mapping.
2. Supports well comparison, correlation, and baseline-gated residual estimation.
3. Produces analytical and advisory outputs with history and exported certificates.

Evidence & merit

Source review describes implementation; recorded tests describe the cases that were exercised; functional review considers observed behavior. Independent specialist validation is a separate activity and is claimed only when documented. An automated checker does not itself establish independent professional review.

The reviewed pipeline connects imported data, geometry and priors, residual calculations, acceptance checks, and export.

The interface keeps the analysis connected to its inputs and checks, so its result can be examined in context.