Abstract

Carbon dioxide, CO2 emissions have risen precipitously over the last century, wreaking havoc on the atmosphere. Carbon Capture and Sequestration (CCS) techniques are being used to inject as much CO2 as possible and meet emission reduction targets with the fewest number of wells possible for economic reasons. However, CO2 injectivity is being reduced in sandstone formations due to significant CO2-brine-rock interactions in the form of salt precipitation and fines migration. The purpose of this project is to develop a regression model using linear regression and neural networks to correlate the combined effect of fines migration and salt precipitation on CO2 injectivity as a function of injection flow rates, brine salinities, particle sizes, and particle concentrations. Statistical analysis demonstrates that the neural network model has a reliable fit of 0.9882 in R Square and could be used to accurately predict the permeability changes expected during CO2 injection in sandstones.

Highlights

  • Carbon Capture and Sequestration (CCS) has developed into a critical component of a portfolio of technologies to reduce emissions of the world's most prevalent greenhouse gas, Carbon Dioxide, CO2

  • Md Yusof et al, 2020) measured and prepared 45 data points of Relative Injectivity Change (RIC) for this analysis based on permeability changes in two Berea sandstones that are sensitive to injection flow rate, brine salinities, particle sizes, and particle concentrations via a specific design of experiment

  • It is well established that the combined effect of fines migration and salt precipitation on CO2 injectivity varies with injection flow rate, brine salinity, particle size, and concentration of particles

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Summary

Introduction

Carbon Capture and Sequestration (CCS) has developed into a critical component of a portfolio of technologies to reduce emissions of the world's most prevalent greenhouse gas, Carbon Dioxide, CO2. Untreated CO2 emissions remain in the atmosphere, wreaking havoc on the climate and weather, commonly referred to as global climate change. By 2015, CO2 emissions had contributed approximately 0.8 °C to transient global warming CCS is based on the capture and permanent storage of CO2 in deep underground geologic formations such as depleted oil fields. These formations are buried beneath layers of dense, impermeable rock or cap rock, which effectively prevents the injected CO2 from escaping to the surface, just as it did for the oil and gas previously contained in the formation over thousands of years

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