The DSCVRi cloud-based completion evaluation engine improves completion performance with stage- and well-level data that you sift, sort, and display.

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Improve completion performance

QUESTION VISUALIZE LEARN IMPROVE

A suite of analysis tools supported by a data warehouse with comprehensive stage-level diagnostic results ensure that you will know what works in a matter of minutes. You can store, access, and analyze hydraulic fracturing results in a streamlined view and forget about the stress of looking for project reports scattered all over the corporate network.

STORAGE

Centralized diagnostic data

Centralized completion data

Consistent data, report formats

Effective data management

ACCESS

Secure, cloud-based, high-availability architecture

Automated analysis and reporting

Accelerated learning across teams

DISCOVER

Interactive, standardized dashboards

Rigorous, quantitative stage-level analytics

Iterative, methodical design testing

DISCOVER THE POSSIBILITIES

Schedule a demo to learn more about the benefits of DSCVRi cloud-based completion evaluation engine.

Schedule a DSCVRi Demo

Get meaningful data with a few clicks

The accessible data let you take a deeper dive into your hydraulic fracturing results so you can identify patterns and correlations quickly, enabling you to update the next stimulation plan confidently.

COMPARISON CIRCLES

identify completion design groups by color

represent the differences of group averages by indicating if the results are similar (overlapping) or different (not overlapping)

validate differences in results

PRINCIPAL COMPONENT ANALYSIS

transforms input data into dominant axes

highlights combination of input parameters that have the greatest effect

identifies key design parameters for future applications

FRACTURE GROWTH CURVE ANALYSIS

represents fracture geometry (line) and growth rate (shaded area) as a function of volume pumped

identifies when events occur during the treatment

compares fracture effectiveness of multiple stages

COMPARISON CIRCLES

identify completion design groups by color

represent the differences of group averages by indicating if the results are similar (overlapping) or different (not overlapping)

validate differences in results

PRINCIPAL COMPONENT ANALYSIS

transforms input data into dominant axes

highlights combination of input parameters that have the greatest effect

identifies key design parameters for future applications

FRACTURE GROWTH CURVE ANALYSIS

represents fracture geometry (line) and growth rate (shaded area) as a function of volume pumped

identifies when events occur during the treatment

compares fracture effectiveness of multiple stages

Know what works

With this streamlined view, looking for project data on the corporate network is a thing of the past. A continuous improvement process, based on your IMAGE Frac pressure-based fracture map and FracEYE frac hit analysis service data, enables you to determine the most cost-effective stimulation plan.

Stored Information

REGION-LEVEL DATA

State, county, basin

Lease name and number

WELL-LEVEL DATA

Well identifier

9 diagnostic datapoints

Lithology

Production*

*Production data storage is an option. Compare completion diagnostics with well production.

STAGE-LEVEL DIAGNOSTIC DATA

19 IMAGE Frac and FracEYE datapoints

Fracture growth curves

Other diagnostic results

STAGE-LEVEL COMPLETION

Completion design parameters

Treatment data

Fracture sequence

500+ completion design decisions within minutes

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