Big data: how can it be used to improve performance

January 2015December 2015
Early identification of lessons learnt from the first stage of developments can improve standard operating procedures

Big data: how can it be used to improve performance

This research was aimed at the appropriate use of information analytics across a broad range of data sources. The project provided the foundation for further analytics studies to flesh out capability and build a proof of concept.

The onshore gas industry in Queensland represents an approximately $80 billion investment whose export output, liquid natural gas (LNG), is flowing into an uncertain market. Given the high onshore gas unit development costs, in part due to the large numbers of wells required to access the permeability networks, marginal changes in the underlying cost structure can make significant changes to the profitability of these developments.

Early identification of lessons learnt from the first stage of developments can improve standard operating procedures to drive down the number of low-producing completed wells, and to improve the production rates across the field through either improved sub-surface prediction or through engineering (drilling or production) systems optimisations. Potential outcomes, such as decreased well numbers or decreased maintenance requirements, may also provide benefits to the community.

The key to this early identification of trends is the appropriate use of information analytics across a broad range of data sources.

The project provided the foundation for further analytics studies to flesh out capability and build a proof of concept.

PROJECT OUTPUTS

  • Research poster: Big data for CSG analytics, UQ-CCSG Research Review (2015)
  • Assessment: Assessment of Big Data Analytics
  • Case study: QDEX case study
  • Recommendations: for further BDA applications
  • Project status: Complete
  • Project title: Big Data Analytics – Prefeasibility Study (QDEX)
  • Project leader: Professor Steve Tyson
  • Research group: The University of Queensland Centre for Coal Seam Gas & The University of Queensland School of Earth Sciences
  • Timeframe: January 2015 - December 2015
  • Project funders: APLNG, Arrow Energy, Santos, QGC, University of Queensland