Problem statement:

Any oil well integrity failures that halt operations can be prohibitively costly, this is especially the case on off-shore wells. Darkvision needs to provide visual analysis of oil wells on-site for petroleum engineers on a rapid turnaround time, without significant trade offs in data accuracy.

Product Discovery

Key success metrics: turnaround time (hours), measurement accuracy (sub-millimetric)

Cross-functional efforts were made in experimenting with parameters of accuracy and time - how fast can we go in acquiring, processing, and analyzing without compromising the accuracy of data results? To find out, technical investigations were made to understand limitations in lowering data sampling rates for faster upload and processing, usage of satellite uplink and cloud computation, ML algorithms, and Python modules for 3D data processing and rendering.

Design & Development

Key output: web-based interactive 3D viewer and 3D visuals in various

As the leading PM I designed 3D visuals in collaboration with product designers and the marketing team, in consultation with customers to iteratively gather feedback in proof of concept and minimally viable product stages. As the priority was turnaround time, the key challenge was to maximize the amount of information that can be conveyed with a standardized, intuitive visual template while minimizing the data upload and processing time.

Deployment & Testing

Key outcomes: decreased turnaround time for data acquisition to actionable insight by 85%

On top of standard QA release testing, more rigorous testing was carried out using historical datasets, in lab conditions on test wells as well as extensively in field conditions. On average, the firmware and software changes made decreased turnaround time by 85% while retaining accuracy on a sub-millimetric level. This opened up a new service offering and revenue stream, with a projected ARR of 1M USD+.