SPE Data Repository

The SPE Bleeding Edge of RTA group (BERG) collected data from industry partners to make available for use for training, research, publishing and development.  While the group is no longer active, the datasets remain as resources to the industry. The sole stipulation to its use is that it is properly referenced when used in an internal or external document or published work. This reference should have the format: 'SPE Data Repository: Data Set: {data set number}, Well Number: {well number}. From URL: {retrieved from URL}'

Meeting a Need

• Many academic institutions lack access to quality production data
• Our industry does not have any generally accepted rate transient analysis examples that are universally referenceable and trusted
• Those interested in testing proposed methods published in the literature often lack the level of data required to verify or contend the proposed methodology.

Anonymization Considerations

When data is submitted there are several levels we can implement to honor varying degrees of anonymity, from no anonymizing, to removing clearly identificable indicators, to modifying to a synthetic dataset based on the real data. 

Objectives and Deliverables

Problem Statement

• Many academic institutions lack access to quality production data
• Our industry does not have any generally accepted rate transient analysis examples that are universally referenceable and trusted
• Those interested in testing proposed methods published in the literature often lack the level of data required to verify or contend the proposed methodology.

Objective

To collect data from industry partners that is free from legal encumbrance and make it available for training, research, publishing and development by academia and industry.

The sole stipulation to its use and dissemination is that it is properly referenced when used in an internal/external document or published work. 

Short Term Deliverables/Milestones

• Collect data sets from key operations in multiple basins that are relevant to industry today
• Create a Data Repository for use by academics and industry partners
• Facilitate an SPE sponsored Hack-a-Thon using the data repository to develop new tools and techniques for processing, analyzing and creating workflows in Rate Transient Analysis.

Anonymization Considerations

When data is submitted there are several levels we can implement to honor varying degrees of anonymity, from no anonymizing, to removing clearly identificable indicators, to modifying to a synthetic dataset based on the real data. Level 1 is the lowest level of changes required; Level 5 requires heavy modification prior to publication.

LEVEL 1
No anonymizing of data required

LEVEL 2
Location or other clearly identifiable attributes are removed

LEVEL 3
In addition to Level 2, any chronologically indentifiable indicators are removed

LEVEL 4
In addition to Level 3, identifying portions of the data are removed and the remaining data is stitched together

LEVEL 5
In addition to Level 4, the data will be modified to a full synthetic dataset based on the real data