Retired Use Cases - opengeospatial/boreholeie GitHub Wiki

This page lists the use cases that were retired from the Borehole IE after a scoping exercise.

9/ Delivery of petroleum well header data and downhole log data from Geoscience Australia and the Australian National Offshore Petroleum Information System (www.ga.gov.au/nopims)

Who : Ollie (GA), Jean-François (Energistics)

  • Compare NOPIMS and GA data models to Energistics and EPOS models to identify issues of any missing elements or modelling differences. Suggest amendments to EPOS conceptual model where required.
  • Develop database mappings for NOPTA and GA to construct web services of their borehole data using an agreed model developed in the IE.

10/ Historical/non-structured data extraction

Who : Yan Liu (3GS)

Sylvain -> Yan : please refine my words on your use case Context : extract content from reports (ex : pdf). Apply techniques such as natural language processing to extract knowledge and enrich the corresponding borehole(s?) representation in databases.

Requirement towards the IE :

  • the IT formalism to describe the Borehole model applied should support the use case (ontologies, thesaurus)
  • /!\ the natural language processing exercise itself is out of scope for the IE /!\

15/ Borehole Management

Who: Rainer Haener (GFZ)

Context: Establishing a system that is capable of managing boreholes () on the basis of information from current and historic drilling campaigns

User Stories and Stakeholder Requirements

  1. Proactive management of drill risks
  2. Planning of borehole locations
  3. Web-based and real-time support of operators and scientists

Use Cases

  1. Determination of best suited locations on the basis of geological/geophysical models
  2. Analysis of drill risks on the basis of archives of Borehole Logs and Events
  3. Early detection and prevention of drilling risks based on neural networks, e.g., Stuck pipes or Kicks

Requirements

  1. The System shall provide an archive of Borehole Logs and Events from completed drilling campaigns
  2. The System shall provide Borehole Logs and Events in real time as well as in a common and standardised encoding

Test Cases

  1. Determination of a risk in an artificially created Borehole Log, based on a trained Neural Network
  2. to be continued