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Carbon Sequestration

Class VI Intelligence for Real Storage Projects

EnviTrace synthesizes regulatory frameworks, pore-space physics, and hub economics so teams can design, monitor, and finance geologic CO₂ storage without guessing.

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Why EnviTrace

Carbon storage workflows that sync geology, law, and finance

We link subsurface simulations, regulatory filings, and MRV (Monitoring, Reporting, and Verification) packages so Class VI wells stay compliant and 45Q revenue streams stay defensible.

Regulatory-Degreed Modeling

Class VI-ready pressure plume and Area of Review modeling that lines up with EPA guidance and state primacy expectations.

Surface-to-Subsurface Traceability

Trace monitoring, MRV (Monitoring, Reporting, and Verification), and financial assumptions back to the data sources regulators, investors, and communities want to see.

Project Finance Alignment

Integrate 45Q eligibility logic, storage accounting, and hub commercialization pathways before FEED is even scoped.

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Get federal and state regulations, DOE/NETL technical literature, and peer-reviewed assessments in one place.

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Related publications

  • Detecting and Characterizing Fluid Leakage Through Wellbore Flaws Using Fiber-Optic Distributed Acoustic Sensing (2022) — Ishtiaque Anwar et al. — 56th U.S. Rock Mechanics/Geomechanics Symposium
    Abstract
    ABSTRACT: A primary concern associated with the utilization of subsurface systems is that there may be pathways for fluid leakage from the resource storage, or disposal reservoir. Leakage of any fluid can contaminate groundwater, cause geo-environmental pollution, generate hazardous surface conditions, and potentially compromise the functionality of the subsurface system. A low-cost, innovative technique to detect and characterize fracture leakage that is functional over many years is needed for applications such as geothermal reservoirs, CO2 sequestration wells, deep borehole storage of nuclear waste, and strategic petroleum reserve caverns. In this experimental study, we investigate the use of fiber-optic distributed acoustic sensing (DAS) to measure dynamic strain changes caused by acoustic signals induced by fluid flow with an eventual goal of developing instrumentation and analytical techniques to detect and characterize the movement of fluids through leaky wellbores. In the first phase of the experiments reported here, we conducted fluid flow tests in a porous medium as an analog to a fracture filled with comminuted material. The measured effective permeability is then compared with the signals generated by the fiber-optic cable. The study indicated that acoustic signals generated from fluid flow through porous media could be effectively captured by the fiber-optic cable DAS technology. 1. INTRODUCTION Wellbores are used for gaining access to various subsurface systems such as underground fluid reserve (Miyazaki, 2009), CO2 sequestration (Watson and Bachu, 2008; Zhang and Bachu, 2011), geothermal energy development (Shadravan, Ghasemi, & Alfi, 2015), waste disposal, oil and gas exploration (Davies et al., 2014), etc. A primary concern associated with the utilization of subsurface systems is that there may be pathways for fluid leakage from the resource storage, or disposal reservoir through the wellbore flaws. Leakage of any fluid from a leaky wellbore can contaminate groundwater, cause geo-environmental pollution (Davies et al., 2014; Ingraffea, Wells, Santoro, & Shonkoff, 2014; Jackson, 2014), generate hazardous surface conditions, and potentially compromise the functionality of the subsurface system (Gasda, Celia, Wang, & Duguid, 2013). Researchers has identified different potential leakage pathways, including fractures in the cement or micro annuli from de-bonding at the cement-casing or cement-formation interface (Celia, Bachu, Nordbotten, Gasda, & Dahle, 2005; Theresa L Watson & Bachu, 2009) or the casing corrosion product (Anwar, Chojnicki, Bettin, Taha, & Stormont, 2019; Beltrán-Jiménez et al., 2021).
  • Machine learning to discover mineral trapping signatures due to CO2 injection (2021) — Bulbul Ahmmed et al. — International Journal of Greenhouse Gas Control
  • Nonlinear acoustics evaluation of CO2 exposed sandstone (2017) — James Bittner et al. — The Journal of the Acoustical Society of America
    Abstract
    In an effort to better understand the hygro-thermo-mechanical behavior of geologic CO2 reservoir material, we investigate the non-linear behavior of elastic wave propagation in Berea sandstone samples, which are used as a standard for reservoir rock formations. Nonlinear characterization methods, including resonant ultrasound spectroscopy (RUS), dynamic acousto-elasticity (DAET), and single-impact nonlinear resonance techniques, are applied to pristine, damaged (distributed microfractures), and CO2 injected Berea samples; conventional linear vibrational and wave propagation measurements are also applied to the samples. The results of these sensitive test methods are compared to reveal the characteristics of geologic reservoir materials that are most affected by varying microstructural and environmental conditions. An analysis of the work also leads to potential bases for test methods that could be deployed in the field in the future to monitor the condition of reservoir formations and lead to better understanding of CO2 injection-induced seismic events. This work is done within the framework of the GSCO2 center for geologic storage of CO2 from the U.S. department of Energy whose purpose is to better understand CO2 sequestration to make it safer and more efficient. As such the results obtained by elastic waves measurement will also be compared to other testing, providing an insight on the physical origin of the nonlinear behavior of geomaterials.
  • Decision analysis for robust CO2 injection: Application of Bayesian-Information-Gap Decision Theory (2016) — Matthew Grasinger et al. — International Journal of Greenhouse Gas Control
  • Interdisciplinary studies on the technical and economic feasibility of deep underground coal gasification with CO2 storage in bulgaria (2016) — Yong Sheng et al. — Mitigation and Adaptation Strategies for Global Change
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