22.2.6 Use Case: Post-Process DAS Data
Topic Version | 1 | Published | 12/09/2016 | |
For Standard | PRODML v2.0 |
Use Case Name |
Post Process and Deliver DAS Data |
---|---|
Version |
1.1 |
Goal |
Optionally post process the acquired data after acquisition and deliver to customer or customer’s Third Party System. |
Summary Description |
Post processing may include:
|
Actors |
|
Triggers |
Acquisition complete |
Pre-conditions |
Acquisition complete and stored in the PRODML DAS format. |
Primary or Typical Scenario |
Refining the depth calibration facility mapping based on further analysis. Re-decimation or extraction of different frequency bands Updating or adding metadata Converting acquired data to other industry standard formats such as SEG Y. |
Alternative Scenarios |
|
Post-conditions |
Post Processed DAS data available for transfer using desired delivery media in PRODML DAS format. Derived formats such as SEGY for vertical seismic profiles may also be produced. Details of post processing activities should be documented accordingly in the metadata of the delivered data. |
Business Rules |
|
Notes |
For specific DAS acquisition services (e.g., vertical seismic profiles or pipeline monitoring) the client may only be interested in the DAS post processed derived product (e.g., SEGY for VSP or a list of events for pipeline monitoring) and may agree with the DAS service provider to store and retain the field or reduced processed data for an agreed period. |
Definitions |
See Section 22.1 DAS Terminology . |
Part VI: Other PRODML Data Objects
PRODML has several data objects that for historical reasons have neither been fully documented nor widely adopted. The combination of new PRODML development and resources constraints has left time to provide only an introduction and overview of these data objects. Where available, links to other related resources are provided.
The data objects covered in this section are:
- Wireline Formation Tester (Chapter 23 Wireline Formation Tester )
- Product Volume (Chapter 24 Product Volume )
- Product Flow Model (Chapter 25 Product Flow Model )
- Time Series and Time Series Statistic (Chapter 26 Time Series )
- WellTest (Chapter 27 WellTest )
- Production Operation (Chapter 28 Production Operation )