Kwantis, in line with the context of growing energy demand and emission reduction, recently developed a new risk assessment for a major oil company. The objective is to measure the integrity loss probability for both legacy and new wells for a wide set of well operations, including H2, CO2 and gas storage. The methodology includes a well-specific long term cement and tubular material degradation model based on the challenging environmental conditions and materials specifications.
Expanding on the concept of well integrity risk assessment, Kwantis has spearheaded the development of a comprehensive methodology. This methodology is tailored to the evolving energy landscape and the imperative of emission reduction. Recently, Kwantis collaborated with a major oil company. Together, they devised an innovative risk assessment framework aiming to evaluate the probability of well integrity loss across a diverse spectrum of well operations.
The methodology is designed to address the integrity concerns of both legacy and new wells. It encompasses a wide array of operations, including those related to hydrogen (H2), carbon dioxide (CO2), and gas storage. These operations cover a broad spectrum of activities within the designated domains. At the core of this approach is a well-specific, long-term model that meticulously accounts for cement and tubular material degradation.
We intricately calibrate this model to accommodate the demanding environmental conditions characteristic of the oil and gas industry. Additionally, we ensure it meets the precise specifications of materials employed in well construction. By leveraging advanced predictive modeling techniques, Kwantis ensures a nuanced understanding of degradation processes over time. This empowers operators to proactively manage integrity risks across their assets.
Furthermore, this methodology serves as a proactive tool for anticipating and mitigating potential integrity challenges. It enhances operational reliability and safety standards. By providing actionable insights into integrity loss probability, operators can optimize resource allocation. They can also prioritize maintenance efforts and safeguard against costly operational disruptions.