1. Understanding Energy
Industry– Oil and Gas
By Suvradeep Rudra

2. PPDM - Public Petroleum Data Model Association
(“PPDM™”)
PPDM Association (PPDM) is a not-for-profit organization
that develops data model defines the structure and
relationships of data
It maintains standards for the energy industry. With over 100
member companies comprised of petroleum businesses, data
vendors, software vendors and service firms
PPDM Association provides a roundtable process to bring
experts together to build useful and business-driven standards

3. PPDM - Public Petroleum Data Model Association
(“PPDM™”)
Current version 3.8
Based on entry level SQL 92 standards
PPDM can be implemented in any fully using SQL*92
database (Oracle, SQL*Server, POSTGRE and others).
PPDM cover 53 subject areas
1238 tables

4. PPDM light weight model
PPDM Lite 1.0 based on entry level SQL 92
requirements.
This model contains 79 tables that summarize important
Exploration and Production information for use in a GIS
PPDM Lite 1.1 includes a greatly enhanced Well Table

5. PPDM Subject Areas – Bottom up
Approach

6. PPDM - Public Petroleum Data Model Association
(“PPDM™”)
PPDM is focused on the needs of the upstream oil and
gas community. The subjects included in the current
production model version are:
Wells
Production
Seismic
Land mineral rights
Data management
Lithology
Support

7. PPDM Architecture Rules
Rules and guidelines that govern the development of the
PPDM data model
Establish procedures for naming tables, columns and
constraints
Guidelines for columns format, reference tables subject
areas management

8. Impact - Changes to PPDM
Adherence to open standards
Impact on users of various data base platforms (Oracle, Sybase, etc.)
Integration or modification required to existing model structures
Effort needed for development or conversion of software by members
Effort required for implementation or conversion of data models by
members
Effect on performance, usability and understand-ability of the model
Cost to implement recommendation in the model

9. Data model Artifacts - Structure
The structure of a table names is: SUBJECT AREA +
MODIFIER1(sub-area) + MODIFIER2(grouping)...
Example:
WELL
WELL_PRESSURE
WELL_PRESSURE_AOF
WELL_PRESSURE_AOF_4PT

10. Data model Artifacts - Structure
Rules
Maximum of 24 characters is used for PPDM table names.
Table names are singular and in present tense.
Intersection / associate tables will be named according to business
usage and by borrowing from the names of the intersecting tables.
Example: WELL_TEST
Cross-reference tables created from a single parent table are named by
adding an XREF qualifier to the name of the table.
Example: BA_XREF

11. Internal sites / External site
Internal Sites
Wells and related assets, areas/lands, pools/basins, fields,
stratigraphic units,
Facilites, production entités, Eco-zones and
environnements
Production facilites (pipelines, batteries, compressor
stations, gas plants, meters, separators, and more),
Support facilities (rigs, roads, transmission or radio
towers, airstrips, an more), logistic sites

12. Internal sites / External site
External sites
Include partners’ locations
Facilities
Suppliers’ locations and facilities, etc.

13. PPDM lite - Tables
Wells - Well name and desc .
Applications and Area – identifier for Application/Area
Business Associate - Person ,Company, Agency etc
Contacts – contract

14. PPDM lite - Tables
Land – all rights for the land and land Sale details
Licenses – all approval granted
Production – production entity
Projects – Project Details

15. PPDM lite - Tables
Reserves – Confidence /producing status of res volume
Fields and pools – Details of a field ,country /state
Financials – All financial components od the business
Entitlement s – Seismic Lease data entitlement
Facilities – Storage, Company, Person

16. Advantages to the Energy
Community
Exploration geophysicists and geologists get Quality exploration data
Drilling engineers also will have timely access to relevant drilling data, and
therefore decisions are made with more accurate data
Production engineers can use a Single Source of Truth for production and
reserves data and oilfield KPIs
Oilfield Operation are able to share well, land, maintenance and production
information
Finance has single version of truth as in oilfield and ERP records, revenue
recognition, reserves and less credit collection risk.

17. Bibliography/References
PPDM Manages Oil & Gas Data Better, Faster By Yogi Schulz, Dave Fisher and Trudy
Curtis
Oracle - http://www.oracle.com/us/products/applications/master-data-management/mdm-
for-digital-oilfield-304647.pdf
http://en.wikipedia.org/wiki/Professional_Petroleum_Data_Management_Association