Combining G&G datasets can be very time consuming and manual with up to 90% of a petrophysicist’s or geologist’s time spent in QC of logs, data quality review, and properly identifying the curves that were in the files to ensure that the correct information was being used to perform the analysis. That only leaves about 10% of the time available for the fun part, the analysis. In this session we’ll discuss and demonstrate how Hadoop and Advanced Analytics can assist in freeing up more time valuable analysis time for G&G groups.
Hadoop is well suited for the data discovery and data exploration required by the G&G community because as a centralized data platform it allows ingestion of all information for a single view. This includes structured data such as production and completion records, semi-structured data such as well logs, and unstructured data such as spreadsheets and PDFs. From this wide variety of datasets, a G&G user can create their own “path” to the data and combinations of datasets that they feel are most important for their analysis. Not being constrained to a prescribed path allows for complete freedom of data discovery by an individual, and allows the ability to ask questions that they hadn’t previously considered. From focused analysis on a small subset of wells or intense analytical processing on an entire basin or reservoir, Hadoop makes either scenario possible.