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This paper aims to discuss opportunities for pairing the carbon dioxide (CO₂) points of supply from stationary sources such as power plants, steel and cement production, coal to liquid plants and refineries, with potential oil reservoirs in China.

This study builds a linear optimization model to analyze the tradeoffs in developing CO₂-enhance oil recovery (EOR) projects in China for a range of policy options to match points of supply with the points of demand (oil fields). The model works on optimizing CO₂ application costs by meeting four principal components; CO₂ storage, CO₂ capture, transport costs and additional oil recovery.

This study reveals new opportunities and economic sources to feed CO₂-EOR applications and offers reasonable options to supply CO₂ for potential points of demand. Furthermore, power plants and coal to liquid industries had the most significant and economic contributions to potential CO₂-EOR projects in China. Total annual emission reduction is expected to be 10% (based on 10 Gton annual emissions). The emission reductions and potential CO₂ storage from the different industries as follow; 94% from power plants, 4% from biofuel and 2% from coal to liquid plants.

Carbon capture and storage (CCS) is one practice aiming to reduce the amounts of anthropogenic emissions of carbon dioxide emitted into the atmosphere and reduce the related social costs. However, given the relatively high cost associated with this practice, coupling it with EOR could offer a significant financial incentive to facilitate the development of CCS projects and meet climate change objectives.

The model used in this study can be straightforwardly adapted to any geographic location where industry and policymakers are looking to simultaneously reduce CO₂ emissions while increasing hydrocarbon recovery. The model is highly adaptable to local values in the parameters considered and to include additional local considerations such as geographic variation in capture costs, taxes and premiums to be placed on CO₂ capture in so-called “non-attainment zones” where pollution capture make could make a project politically and economically viable. Regardless of how and where this model is applied, it is apparent that CO₂ from industrial sources has substantial potential value as a coproduct that offsets its sequestration costs using existing, commercially available CO₂-EOR technology, once sources and sinks are optimally paired.

This chapter examines the UK and the Nigerian approach to reducing emission of greenhouse gases (GHGs) into the environment as a result of gas flaring utilising the market-based regulation. Determining how different jurisdictions fare in the quest to reduce GHG emissions associated with the oil and gas industry is essential because: policy makers have realised the advantages of market-based regulation over the command-and-control regulation; and in the light of various pledges different countries have made in different forum to reduce the emission of GHGs, particularly in the wake of the recently held Paris climate change conference.

Library-based approach is used, providing conceptual and theoretical understanding of climate change, GHG emissions and various market-based regulatory tools utilised in the United Kingdom and Nigeria in regulating emission associated with operations in the oil and gas industry.

The study reveals the significance of environmental regulations that encourage region integration and flexibility in the implementation of environmental policies. Moreover, it finds that the Paris Agreement re-affirms the utilisation of market-based regulations and indicates a future for investment in the oil and gas industry.

The study revealed that there are lacunas in regulations and strategies for the implementation of environmental regulations which need to be addressed in order to achieve zero or a significant decrease in gas flaring.

This study provided an ample opportunity to theoretically examine market-based regulatory tools utilised in the oil and gas industry in a developed country in relation to a developing country.

The aim of this study is to numerically simulate the density-driven convection in heterogeneous porous media associated with anisotropic permeability field, which is important to the safe and stable long term CO₂ storage in laminar saline aquifers.

The study uses compact finite difference and the pseudospectral method to solve Darcy’s law.

The presence of heterogeneous anisotropy may result in non-monotonic trend of the breakthrough time and quantity of CO₂ dissolved in the porous medium, which are important to the CO₂ underground storage.

The manuscript numerically study the convective phenomena of mixture contained CO₂ and brine. The phenomena are important to the process of CO₂ enhanced oil recovery. Interesting qualitative patterns and quantitative trends are revealed in the manuscript.

In this work, it is presented a locally conservative multiscale algorithm accounting the mineralization process during the supercritical carbon dioxide injection into a deep saline aquifer. The purpose of this study is to address numerically the geological storage of CO₂ in a highly heterogeneous reservoir, leading with interactions among several phenomena in multiple scales.

This algorithm have features that distinguish it from the presently available solvers which are: (i) an appropriate combination of a coupled transport system solver using a high-order non-oscillatory central-scheme finite volume method and, elliptic numerical approach applying a locally conservative finite element method for Darcy’s law and, (ii) the capability of leading with interactions among several phenomena in multiple scales.

As a result, this approach was able to quantify the precipitation of the carbonate crystals at the solid interface.