Designed specifically for the complexities involved in well abandonment, DWA Consultants delivers robust, data enabled services aimed at identifying both risks and costs. Our capabilities extend from AI powered data ingestion to machine learning driven analytics algorithms, to seasoned advisory services, all geared towards better management of liabilities and risk ensuring responsible asset management.
Well abandonment cost estimate.
By mapping attribute sets from well data around the world and training algorithms with completed Plug and Abandonment operations we can estimate the real cost of the P&A liability to an auditable standard.
Create a well schematic with basic engineering requirements to comply with regulator requirements.
With the capability to correlate thousands of wells in multiple locations we will be able to predict well attributes in the event well data is not available. This is important for not only P&A activities but also for repurposing wells in older fields.
Identifying risk of environmental release.
By using the data and completed well information we can predict wells that have a high likelihood of environmental release or significant well integrity issues that can be costly to mitigate and that pose material, reputational, and operational risks. This will allow the operator to take a risk-priority approach to P&A campaigns.
As part of the Operators’ long-term ARO liability determination DWA can track liabilities for current assets and monitor liabilities that may continue following asset retirements, dispositions or acquisitions where the company could face ultimate responsibility as the surviving entity.
Alternative use cases.
As emerging projects like CCUS and Geothermal conversions are implemented DWA can help identify reuse opportunities that may not be apparent to the Operator or Regulator.
Analytics for regulatory compliance and risk mitigation in well abandonment
DWA’s offerings emphasize data integrity, analytic precision, and fiscal foresight.
Predictive scenario analysis: Leverage predictive algorithms to conduct data-driven scenario planning, incorporating geological and regulatory considerations.
Digital compliance framework: Utilize DWA’s digital platform’s embedded checkpoints to ensure consistent adherence to regulatory guidelines.
Meaningful financial projections: Access deep data analytics for transparent, auditable financial projections that align with both stakeholder expectations and regulatory mandates.
Network of
Global Oil Well Data Nodes
Regulation
Standardization
and Feedback
AI Powered
Risk Prioritization
Operational Excellence Through Data Management in Well Abandonment
Data management and analytics stand as cornerstones for regulatory adherence, risk mitigation, and for determining financially viable ARO liabilities. DWA is committed to adhering to and structuring regulatory compliance.
Report precision: Leverage DWA’s analytics to produce accurate, auditable reports for ARO liabilities that meet the stringent criteria of both stakeholders and Regulators.
Financial risk optimization: Employ DWA’s analytics to create reliable financial models, essential for planning and implementing risk-averse decommissioning tactics.
Integrated data system: DWA’s technology platform amalgamates data management, analytics, and regulatory compliance into a single, cohesive system, thereby simplifying the complexities involved in well abandonment processes.
Data Supported
Cost Estimation
AI Predictive Modeling
Asset Retirement
Obligation
Post Carbon Future:
Geothermal
Applications
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