Well planning is a merry-go-round of looking for poorly structured data, then practicing your black belt in spreadsheet-slash-powerpointing to share and store more poorly structured data.

SaaS lets you log in to your browser and do your work. We invest in advanced infrastructure.

When the data is separate from the application all the pieces of your infrastructure falls in place.

Data Coverage View, Workstring for Perforate Run, Updated/Added Wellbores Summary and many fixes and improvements. Release notes for version 5.10.0.

In our ElasticSearch database, we merge together large datasets from multiple sources. This allows the user to discover brand new connections and extract useful information from completely new areas. In this article, we will go through some powerful use cases with NPT events.

A comparison of wellbores drilled to similar depths, for a similar time period, opens doors to further analyzes to improve well planning. We are excited to introduce another machine learning application to group wellbores based on similar patterns in time-depth drilling curve.

Minimizing the risk of drilling a dry hole is a critical challenge in the oil and gas industry. Dry holes are costly in terms of financial investment. One way to reduce the risk of drilling a dry hole is to implement data-driven decision-making processes.

Aker BP made a significant gas discovery in an exploration well in the Norwegian Sea

OMV Norge announced the discovery of hydrocarbons in an HPHT exploration well drilled in Oswig prospect located in North Sea. With successful preliminary results, further sidetrack is now planned followed by DST in upper Tarbert formation.