A New Strategy for Integrating E&P Unstructured Data Lonnie Chin (Talisman Energy) Terry Gardner (Schlumberger Information Systems)

Transcription

1 A New Strategy for Integrating E&P Unstructured Data Lonnie Chin (Talisman Energy) Terry Gardner (Schlumberger Information Systems) PPDM 2009 Fall Conference

2 Expansion of The Top Secret! Digital Universe Top Exabytes Secret!

3 What the is a Zettabyte! Zettabytes! bytes zetta exa peta tera giga mega kilo inch disks MB CD GB DVD

4 The Bad News in 0 s and 1 s 2007 first year data creation outpaces data storage* Est % of all data is unstructured Digital Shadow now larger than Digital Footprint ** Forecasted size increase of 10X in 5 years and rate is increasing** Info containers growing 50% faster than data volume**

5 Finding Meaning Physical and environmental factors are a reality Knowledge base and decision making capacity driven by unstructured data. Individuals create unstructured data but organizations responsible for regulation** A time of Perpetual Info-motion Volume is not the only cause, volume + variety is the problem

6 Keys to Success Understanding Corporate Responsibility Structured Foundation Automation/ Technology Integration and Business Strategy

7 Why Am I Here? Problem Statement Current methods of unstructured data management cannot provide the sophistication or accommodate the volume and variety we are encountering. If we cannot keep up with today how do we prepare for the issues of tomorrow?

8 Know the Players Unstructured data/information is computerized information that is either not bound by a defined data model or has one that is not easily defined by logical programming. Traditional Solution: Read the document, collect and store key metadata that can be searched. EXTREMELY resource intensive.

9 Corporate Responsibility CLEAR Policy Governance Defined Stewardship Education Enforcement

10 Structured Foundation MDM development also vital for unstructured data management Wellmaster MDM provides foundation to impart structure Consistent taxonomy plays key role in nongeographic tagging Wellmaster MDM will also leverage from better unstructured data.

11 Automation and Technology Developed by In-Q-Tel for CIA antiterrorism efforts Proprietary natural language processing technology Read a document and tag for geographic references and assign coordinates Search results are displayed on the map Click the document and you access it instantly No one has to read and catalog the document for it to be searchable

12 Know the Players The Field Life Cycle. - Exploration phase. - Appraisal phase. - Development planning. - Production phase. - Decommissioning. Exploration. Hydrocarbon accumulations. Exploration methods and techniques. Drilling Engineering. Well planning. Rig types and rig selection. Drilling systems and equipment. Site preparation. Drilling techniques. Casing and cementing. Drilling problems. Costs and contracts. Safety and The Environment. Safety awareness. Safety management systems. Environment. Current environmental concerns. Reservoir Description. Reservoir geology. Reservoir fluids. Data gathering. Data interpretation. Volumetric Estimation. Deterministic methods. Expressing uncertainty. Field Appraisal. The role of appraisal in the field life cycle. Identifying and quantifying sources of uncertainty. Appraisal tools. Expressing reduction of uncertainty. Cost-benefit calculations for appraisal. Practical aspects of appraisal. Reservoir Dynamic Behaviour. The driving force for production. Reservoir drive mechanisms. Gas reservoirs. Fluid displacement in the reservoir. Reservoir simulation. Estimating the recovery factor. Estimating the production profile. Enhanced oil recovery. Well Dynamic Behaviour. Estimating the number of development wells. Fluid flow near the wellbore. Horizontal wells. Production testing and bottom hole pressure testing. Tubing performance. Well completions. Artificial lift. Surface Facilities. Oil and gas processing. Facilities. Production Operations and Maintenance. Operating and maintenance objectives. Production operations input to the FDP. Maintenance engineering input to the FDP. Project and Contract Management. Phasing and organisation. Planning and control. Cost estimation and budgets. Reasons for contracting. Types of contract. Petroleum Economics. Basic principles of development economics. Constructing a project cashflow. Calculating a discounted cashflow. Profitability indicators. Project screening and ranking. Per barrel costs. Sensitivity analysis. Exploration economics. Managing the Producing Field. Managing the subsurface. Managing the surface facilities. Managing the external factors. Managing the internal factors. Managing Decline. Infill drilling. Workover activity. Enhanced oil recovery. Production debottlenecking. Incremental development. Decommissioning. Legislation. Economic lifetime. Decommissioning funding. Decommissioning methods.

13 Finding Documents in Multiple Repositories Reality more complicated

14 What is the Solution? Specifically for the oil and gas industry You d make all of the documents, files, and web content show up on a map This is what MetaCarta does.

15 MetaCarta: A Map-Based Search Appliance esearch Appliance, connectors

16 Automation and Technology Nongeographic tagging Example 1 Tagging of documents to geologic time scale Custom entries in Gazetteer to create links between keywords and taxonomy Example 2 Tagging of documents to geographic coordinate scheme designed for spatial analysis Custom entries in Gazetteer to create links between keywords and predefined coordinates

17 Automation and Technology Geological Engineering Drilling Geophysical

18 Automation and Technology - edios Administration Integrated Viewing Asset Allocation Classification Metadata Collection Loading Records Integration

19 Automation and Technology - Datafinder Integrated Viewing Data Delivery User Friendly Access Portable

20 Integration Strategy Triage Capability to identify high priority material Simplification of file differentiation Metadata Collection Reduce focus on manual entry Create extensive unbiased collection Tier 2 repositories Data can have context and without being fully processed Accessible from anywhere in virtual MDM

21 Integration Strategy Tier 1 Manual processing Manually reviewed documentation Structured repository with access and search capability Specific metadata manually identified, verified and captured Tier 2 Automated processing No manual review Bulk repository with access and search capability Automated indexing and tagging based on Gazetteer content

22 Integration Schematic Tier 1 Triage edios PPDM R_XX Index & Scan Data Staging DM PPDM MDM Tier 2

23 Integration Strategy Augmentation of Facilitated Process Prefiltering and selection to reduce effort to allocate assets (ie. Wells and Areas) Automating classification process with by including nongeographic tagging Extract key words to summarize content to eliminate need to read all content

24 Setting the Stage Pilot Project Goals Install appliance and access test data Successfully process test data set with default configuration Add MDM data and observe difference in results and performance Add nongeographic tagging and observe difference in results and performance Evaluate accuracy of results

25 Results Controlled Test Parameters files in a typical dataset 867 GB Unix file system Mix of structured and unstructured data Totals Default +MDM +MDM +Nongeo Files Time (hrs) Processed Tagged Hit Rate 1 in in in 2.0

26 The Bottom Line Quantifiable Targets Current avg manual processing time 7 min Target = 50% reduction (3.5min/doc) Potential hr reduction Full target (65% tagged) Not Directly Quantifiable Searchable access to all documents All metadata extracted in one pass Ability to target data management activities

27 Next Steps Develop and execute technical and business integration plan Identify methods to improve tagging accuracy Refine MDM foundation to add more content to Gazetteer Identify priority unstructured data stores for processing and integration Implementing nongeographic tagging

28 Long Term Targets Min. 65% of readable files tagged Min. 50% reduction in processing time Integration of nongeological MDM stores Custom nongeographic tagging module to assist in taxonomic classification

29 Conclusion Unstructured E&P data forms the majority of the volume and decision making impact. Current methods of management are inadequate and recourse intensive Early results from combining new practices with updated technologies look promising. Structured data MDM solution already implemented is a tremendous advantage.

30 References * The Expanding Digital Universe A Forecast of Worldwide Information Growth Through 2010; John F. Gantz, et. al. (IDC Whitepaper, Mar 2007) Computer World, Oct 30, 2006, Where Size is Opportunity, pg. 22 ** The Diverse and Exploding Digital Universe An Updated Forecast of Worldwide Information Growth Through 2011; John F. Gantz, et. al. (IDC Whitepaper, Mar 2008)