Integrated Assessment of CO2 Enhanced Oil Recovery and Storage Capacity

2010 ◽  
Author(s):  
Yin Zhang ◽  
Liang Zhang ◽  
Allen Niu ◽  
Shaoran Ren
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Integrated Assessment ◽  
Storage Capacity ◽  
And Storage

scholarly journals Making the subsurface political: How enhanced oil recovery techniques reshaped the energy transition

2019 ◽  
Vol 38 (4) ◽  
pp. 733-750
Author(s):  
Sébastien Chailleux
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Carbon Capture ◽  
Oil And Gas ◽  
Global Climate ◽  
Carbon Capture And Storage ◽  
Energy Transition ◽  
Social Protest ◽  
Recovery Techniques ◽  
And Storage

Analyzing the case of France, this article aims to explain how the development of enhanced oil recovery techniques over the last decade contributed to politicizing the subsurface, that is putting underground resources at the center of social unrest and political debates. France faced a decline of its oil and gas activity in the 1990s, followed by a renewal with subsurface activity in the late 2000s using enhanced oil recovery techniques. An industrial demonstrator for carbon capture and storage was developed between 2010 and 2013 , while projects targeting unconventional oil and gas were pushed forward between 2008 and 2011 before eventually being canceled. We analyze how the credibility, legitimacy, and governance of those techniques were developed and how conflicts made the role of the subsurface for energy transition the target of political choices. The level of political and industrial support and social protest played a key role in building project legitimacy, while the types of narratives and their credibility determined the distinct trajectories of hydraulic fracturing and carbon capture and storage in France. The conflicts over enhanced oil recovery techniques are also explained through the critical assessment of the governance framework that tends to exclude civil society stakeholders. We suggest that these conflicts illustrated a new type of politicization of the subsurface by merging geostrategic concerns with social claims about governance, ecological demands about pollution, and linking local preoccupations to global climate change.

CO2-enhanced oil recovery and CO2 capture and storage: An environmental economic trade-off analysis

2019 ◽  
Vol 239 ◽  
pp. 167-177 ◽  
Author(s):  
Pieter Roefs ◽  
Michele Moretti ◽  
Kris Welkenhuysen ◽  
Kris Piessens ◽  
Tine Compernolle
Keyword(s):  
Environmental Economic ◽  
Enhanced Oil Recovery ◽  
Co2 Capture ◽  
Oil Recovery ◽  
Trade Off ◽  
Co2 Capture And Storage ◽  
And Storage

A Laboratory and Numerical-Simulation Study of Co-Optimizing CO2 Storage and CO2 Enhanced Oil Recovery

SPE Journal ◽  
2015 ◽  
Vol 20 (06) ◽  
pp. 1227-1237 ◽  
Author(s):  
Fatemeh Kamali ◽  
Furqan Hussain ◽  
Yildiray Cinar
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Co2 Storage ◽  
Immiscible Displacement ◽  
Sandstone Sample ◽  
Miscible Displacements ◽  
Gravity Effects ◽  
Optimization Function ◽  
Carbon Dioxide Co2 ◽  
And Storage

Summary This paper presents experimental observations that delineate co-optimization of carbon dioxide (CO2) enhanced oil recovery (EOR) and storage. Pure supercritical CO2 is injected into a homogeneous outcrop sandstone sample saturated with oil and immobile water under various miscibility conditions. A mixture of hexane and decane is used for the oil phase. Experiments are run at 70°C and three different pressures (1,300, 1,700, and 2,100 psi). Each pressure is determined by use of a pressure/volume/temperature simulator to create immiscible, near-miscible, and miscible displacements. Oil recovery, differential pressure, and compositions are recorded during experiments. A co-optimization function for CO2 storage and incremental oil is defined and calculated using the measured data for each experiment. A compositional reservoir simulator is then used to examine gravity effects on displacements and to derive relative permeabilities. Experimental observations demonstrate that almost similar oil recovery is achieved during miscible and near-miscible displacements whereas approximately 18% less recovery is recorded in the immiscible displacement. More heavy component (decane) is recovered in the miscible and near-miscible displacements than in the immiscible displacement. The co-optimization function suggests that the near-miscible displacement yields the highest CO2-storage efficiency and displays the best performance for coupling CO2 EOR and storage. Numerical simulations show that, even on the laboratory scale, there are significant gravity effects in the near-miscible and miscible displacements. It is revealed that the near-miscible and miscible recoveries depend strongly on the endpoint effective CO2 permeability.

scholarly journals Integrated static modelling and dynamic simulation framework for CO2 storage capacity in upper Qishn Clastics, S1A reservoir, Yemen

2021 ◽  
Author(s):  
Ayman Mutahar AlRassas ◽  
Hung Vo Thanh ◽  
Shaoran Ren ◽  
Renyuan Sun ◽  
Nam Le Nguyen Hai ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Uncertainty Assessment ◽  
Alternative Measure ◽  
Modeling Framework ◽  
Significant Difference ◽  
Static Modelling ◽  
And Storage

Abstract Carbon dioxide (CO2) capture and storage (CCS) is presented as an alternative measure and promising approach to mitigate the large-scale anthropogenic CO2 emission into the atmosphere. In this context, CO2 sequestration into depleted oil reservoirs is a practical approach as it boosts the oil recovery and facilitates the permanent storing of CO2 into the candidate sites. However, the estimation of CO2 storage capacity in subsurfaces is a challenge to kick-start CCS worldwide. Thus, this paper proposes an integrated static and dynamic modeling framework to tackle the challenge of CO2 storage capacity in a clastic reservoir, S1A filed, Masila basin, Yemen. To achieve this work's ultimate goal, the geostatistical modeling was integrated with open-source code (MRST-CO2lab) for reducing the uncertainty assessment of CO2 storage capacity. Also, there is a significant difference between static and dynamic CO2 storage capacity. The static CO2 storage capacity varies from 4.54 to 81.98 million tons, while the dynamic CO2 simulation is estimated from 4.95 to 17.92 million tons. Based on the geological uncertainty assessment of three ranked realizations (P10, P50, P90), our work was found that the upper Qinshn sequence could store 15.64 Million tons without leakage. This result demonstrates that the potential of CO2 utilization is not only in this specific reservoir, but the further CO2 storage for the other clastics reservoirs is promising in the Masila Basin, Yemen.

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