Technical papers

Some of our papers which have been presented at various data management conferences

Technical papers


You may find practical lessons in some of these papers that you can implement in your own projects. If so, we would we would like to hear back from you, especially if it has been of help.


More papers will be gradually added to this section.


Click on the icons to download a pdf version of the paper.


Precision-DM - Technical papers

ClusterClustering considerations for machine learning, with examples from exploration data. Digital Energy Journal Forum, 3rd October 2019, Kuala Lumpur

Even though the majority of upstream oil and gas data are acquired for specific business purposes, the inter-relationships and possible significance of data synergies are yet to be explored. Unsupervised machine learning is where such synergies are likely to be discovered and cluster analysis is one of the main tools for unsupervised learning. This paper looks at the various data reduction techniques with a focus on cluster analysis.


Dreamweaver CS3Opportunity Landscape for Data Scientists in E&P. Halliburton STEPS Lecture Series 2018, 18th April 2018, Kuala Lumpur

This paper explores the potential for the application of data science in E&P and discusses some of the techniques used and the possible areas of application.




Dreamweaver CS3Common Sense Data Management. Digital Energy Journal Conference, 4th October 2017, Kuala Lumpur.

Data management is a huge topic with many different ways to develop solutions. Sometimes the simplest way may be the best way to solve a problem. This paper discusses a few selected areas where a "common sense" approach is the best way to make continuous progress.



Dreamweaver CS3Data Quality Metrics - Status of the National Data Repository (NDR) work for Regulators (2014-2017). Digital Energy Journal Conference, 3rd October 2017, Kuala Lumpur

At the NDR meeting in 2012 in Kuala Lumpur, data quality was identified as a big issue. A working group was set up and initial work carried out. At the following NDR in 2014 in Baku, Azerbaijan, this project was formally agreed and carried out over the next 3 years resulting in a 3 volume set of guides for anyone interested in understanding how data quality metrics can be set up and implemented.

This paper chronicles the work done and explains briefly the guides created. The 3 guides can be downloaded from the "Guides" section.