PwC - PetroVisor End User Certification Quiz

INTRODUCTION

General PetroVisor & Data Model (Questions 1-9)

Build: Workflows, Develop, Tables & Logs (Questions 10-15)

Predict: Scenarios, ML, DCA, Library (Questions 16-25)

Analyze: Data, Maps & Dashboards (Questions 26-32)

During End User Training You learned:

1) What is PetroVisor

2) How PetroVisor works

3) What is the Unified Data Model and how it works

4) Using P# scripts in the Build section to create and run workflows

5) PetroVisor uses ML

6) DCA allows for customization of forecasts

7) Maps and Data allow for quick visualization and custom data tables for viewing and export from the platform

8) How to access and interact with the PetroVisor dashboards

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* 1. What is your name (First and Last)?

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* 2. What is your work email address?

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* 3. What is the Unified Data Model

Real-time data capture

Single data source connected to the PetroVisor platform

Unification of disparate data sources into one all-encompassing workspace

On-prem analytics-platform project teams use for their analyses

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* 4. PetroVisor Applications (Apps) consist of

Packages of technical workflows and associated dashboards

Word processors that identify disparate text files

Packages of static workflows required to run on data files

Package of dashboards that display and aggregate data as is

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* 5. Clients must subscribe to all Apps in order to fully utilize PetroVisor

True

False

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* 6. How is PetroVisor different than PowerBI?

It’s not, they both connect disparate datasets

They’re the same, the visualization tool in PetroVisor is an embedded PowerBI view

PetroVisor runs commercialized workflows on top of integrated dataset

PowerBI does not allow for machine learning workflows to be run on top of datasets prior to visualizing

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* 7. PetroVisor utilizes a multi-level, hierarchical, model that is defined as a

Program that can find patterns or make decisions from a previously unseen dataset

Model comparing how several variables affect different continuous variables

Machine learning algorithm that improves the accuracy of classical linear regression

Model in which lower levels are sorted under a hierarchy of successively higher-level units

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* 8. Source connection type must be a csv

True

False

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* 9. Each entity may have numerous signals

False

True

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* 10. Signals may be raw or calculated data

True

False

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* 11. An example of a tag is

Producing volume

Completion type

Inactive

EUR

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* 12. You may drag and drop P# scripts into a sequence to develop a custom workflow

True

False

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* 13. Platform automation is limited to data ingest; workflows may not be scheduled to run in a sequence

False

True

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* 14. PetroVisor's coding language is P#, to build workflows in PetroVisor you may learn the P# language or utilize

Python

Expression builder

All of the above

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* 15. Power Users may update the existing P# code and workflow inputs

False

True

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* 16. Pivot Tables in PetroVisor

Can only be accessed through existing templates

Can be published to PowerBI for visualization within a dashboard

Can be updated as often as needed

All of the above

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* 17. Record of changes made in the platform are recorded and may be viewed by users

True

False

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* 18. PetroVisor workflows are static and cannot be run with changing scenarios

False

True

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* 19. An example of a Scenario is

Commodity Prices

Historical Production Volumes

Current Operating Cost

Entity NPV

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* 20. PetroVisor Machine Learning Model is

Run off of one model and trained on Datagration test dataset

Run off of multiple models and trained on Datagration test dataset

Run off of one model and trained on customer's data only

Run off of multiple models and trained on customer's data only

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* 21. PetroVisor Machine Learning is predefined and lacks transparency

True

False

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* 22. PetroVisor DCA is required for forecasts versus actual visualizations

False

True

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* 23. Forecasts cannot be

Modified in PetroVisor

Overwritten in PetroVisor

Reviewed in PetroVisor

None of the above

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* 24. Changes in the platform are tracked and may be viewed in

Build - Logs

Admin portal

Customer email request to Support

All of the above

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* 25. An Entity Set is

User-defined grouping of entities

Labels manually managed by users

Used to indicate the status or condition of an entity

A detailed P# script

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* 26. An example of a Scope is

Active Oil Wells

All perforations Start to End Monthly

Historical Workover Executive - Next Ten Years Daily

Wells with 2022 gas production and 0 or Null Gas forecasts

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* 27. A Power User may define Scopes for Entity Sets

False

True

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* 28. How would I change the time aggregation for a signal in the table?

Under ‘Signal’, select Signal and Unit

Re-map signal

Under ‘Date’ select ‘Time Step’

Calculate myself and overwrite the data in the table, ‘save’

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* 29. Only one entity may be viewed on the map at a time

True

False

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* 30. In PetroVisor, a voronoi is used for:

Spacing calculation between horizontal wells

Proxy for drainage area around an existing horizontal well

Proxy for drainage area around an existing vertical well

All of the above

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* 31. Multiple layers may be viewed simultaneously

True

False

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* 32. Data behind a chart within the dashboard can be exported by:

Screen capture of the chart or full screen

Select ‘more options’ in the chart and select ‘export data’

Click on the down arrow in the top right of the screen and select ‘export to pdf’

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* 33. A user, with the appropriate permissions, can edit/revise/customize the dashboard visualizations

True

False

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* 34. Data can be filtered in the dashboard using:

Side panel filter

Clicking on selection within each chart

Typing selection into filter search

All of the above