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ENVIRONMENTAL DATA MANAGEMENT
& SHALE GAS PROGRAMS
INTERNATIONAL PETROLEUM ENVIRONMENTAL
CONFERENCE
NOVEMBER 14, 2013
AGENDA
 Project Design
 Stakeholder Issues

 Implementation
 Project Outcome
 Lessons Learned
CENTRALIZED DATA MANAGEMENT –
KEY BENEFITS
 Accessibility – Centralized location, collaborative work space, global access...
CENTRALIZED DATA MANAGEMENT –
KEY BENEFITS
By centrally managing all environmental data into a single storage facility, mo...
PROJECT DESIGN
 Historical View of Baseline Water Sampling
› State requirements and data needs

 Understanding proper fl...
STAKEHOLDER ISSUES
 Effective Data Management
› Ability to manage large amounts of data
› Understanding the uses of the d...
IMPLEMENTATION
 Building the right project team
› Collaborative effort among consultants, labs, EarthSoft and Chesapeake ...
PROJECT OUTCOME
 Data Reporting Requirements
› Internal Reporting
−

Quarterly matrices (KPIs)

› External Reporting
−

E...
LESSONS LEARNED
 Build in time for uncertainty
 Fully understand the project tasks/desired outcome
 Active Project Mana...
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Ipec shale gas programs and data management november 14 2013

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Transcript of "Ipec shale gas programs and data management november 14 2013"

  1. 1. ENVIRONMENTAL DATA MANAGEMENT & SHALE GAS PROGRAMS INTERNATIONAL PETROLEUM ENVIRONMENTAL CONFERENCE NOVEMBER 14, 2013
  2. 2. AGENDA  Project Design  Stakeholder Issues  Implementation  Project Outcome  Lessons Learned
  3. 3. CENTRALIZED DATA MANAGEMENT – KEY BENEFITS  Accessibility – Centralized location, collaborative work space, global access (webbased), historical retention  Cost Reduction – Reduce man hours to input, create, and distribute information  Standardization – Consistency in format and presentation; data integrity  Project Management tools– Ability to easily monitor project progress and data from a central location  Collaboration – Increase ability to share data through web portal  Communications – Easily communicate with stakeholders through online tools  High grade project decisions – Facilitate cold eye, management review process Better Manage Liabilities  Eliminate redundant Legacy Systems – improve data integrity and reduces cost  Hosted option, little or no desktop software required – internal IT requirements low, Web based applications – allows for updates in real-time; eliminates versioning
  4. 4. CENTRALIZED DATA MANAGEMENT – KEY BENEFITS By centrally managing all environmental data into a single storage facility, more sophisticated data analysis will be achievable, which leads to an improved technical/scientific understanding, while enforcing comprehensive QA/QC procedures: • Technical data quality objectives, including data validation and checking is standardized and managed centrally. • Electronic input and output of data improves data accuracy, efficiency and quality by reducing potential staff errors during transfer of data. • More efficient workflow and field monitoring procedures become. • Data is timely (real time), available for multi matrix (i.e. Air, Soil, Water, Ecology, etc) and of high quality. • Data is readily accessible to all key stakeholders. • The data management system stores, processes, analyzes, and reports project critical data necessary for both day-today project management and longer term strategic planning. Financial Value of Consistency • Save Time and Money • Ramp monitoring programs up faster • Share data between offices - no need for data translation Increased Technical/Scientific Understanding and Time for more advanced Data Analysis. Auditable traceability of data – Open & Transparent system.
  5. 5. PROJECT DESIGN  Historical View of Baseline Water Sampling › State requirements and data needs  Understanding proper flow process › Insert flow diagram  Process timeline › Pre-drill scheduling › Post-drill scheduling  Database configurations › Customized formats › Standardized formats › Sustainability for years to come
  6. 6. STAKEHOLDER ISSUES  Effective Data Management › Ability to manage large amounts of data › Understanding the uses of the data › Building efficiency through reporting  Data Migration › Migrating data from previous formats to singular format − Understanding the changes and limitations of previous stored data  New Data Storage › Adjusting Work Flow › Change of Management process  Quality Control Mechanisms/ Assurances › Ability to monitor and track progress/data completeness  Costs › How to remain on task and budget
  7. 7. IMPLEMENTATION  Building the right project team › Collaborative effort among consultants, labs, EarthSoft and Chesapeake Energy › Weekly team meetings − Phased implementation › “All hands on deck” approach for timely implementation − Ability to make changes immediately to maintain data flow/input › Project Checklists
  8. 8. PROJECT OUTCOME  Data Reporting Requirements › Internal Reporting − Quarterly matrices (KPIs) › External Reporting − Exporting data to state databases (i.e. MSC)  Data Management Uses › Water Quality data statistics › Quick retrieval of data for landowner questions or water source complaints
  9. 9. LESSONS LEARNED  Build in time for uncertainty  Fully understand the project tasks/desired outcome  Active Project Management  Focus on changeable topics (Don’t focus on the “what ifs”)
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