Cost-effective CO₂ measurement, monitoring, and verification planning
Ensuring the secure containment of CO2 in a storage site is crucial for minimizing environmental risks. As such, most regulators have created frameworks with which carbon storage developers must comply to reduce risks. One of the key requirements for regulatory approval is the development and implementation of a thorough measurement, monitoring, and verification (MMV) plan.
For years, SLB has been developing compliant, cost-effective, and site-specific MMV plans for permitting, front-end engineering design (FEED), and final investment decision (FID). We combine our industry-leading subsurface modeling technology with a proven methodology based on experience from more than 150 carbon storage projects to quickly build robust MMV plans that comprehend risks, predict long-term site stability, and identify accurate measurement technologies. We also do this with cost efficiency and practicality in mind to optimize your project’s economics for FID.
Each MMV plan is unique and must be tailored to the specific conditions of the storage site. Therefore, it is essential that the plan be adaptable, because site conditions may change with time. For approval at FID, the MMV plan must also remain cost-effective, striking the right balance between regulatory compliance and site-specific measurement and monitoring needs.
To build a comprehensive FEED followed by a compelling case for FID, an accurate and reliable CO2 model is critical in predicting your ability to efficiently and effectively fill the reservoir and predict how CO2 will behave. Using SLB industry-leading Petrel™ subsurface software and Intersect™ high-resolution reservoir simulator, you can build models to estimate capacity, containment, and injectivity, then simulate plume migration in an integrated workflow to evaluate a project’s potential faster.
When analyzing and scoring risks, many use a qualitative approach. However, at SLB, we also take a quantitative approach. Using the numerical results of dynamic modeling to quantify the probability and severity of risks such as fault or caprock failures, unintended migration of CO2, or the loss of well integrity, our methodology prioritizes these risks to deliver a cost-effective and optimized approach to MMV.
Once risks are prioritized, we focus on those measurements that can detect a change in risk profile and the technologies that will satisfy monitoring objectives. Whether this is fiber-optic sensing for wellbore or casing integrity or distributed acoustic sensing (DAS) or 4D seismic for detecting changes to the formation, our methodology measures the cost-benefit analysis of each technology to deliver the best techno‑economic solution.
Onshore or offshore storage sites