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Explore progress in evaluating CO2 storage potential in China with a focus on regional basin assessments, site selections, and GIS-based tools. Discover potential storage options in saline formations and key oilfields.
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WP4: Assessing capacity for CO2 storage in selected regions of China Jonathan Pearce 23rd October 2008
Outline • Introduction to WP4 • Objectives • Regional studies • Site assessments • Outputs
UK British Geological Survey (BGS) BP Heriot Watt University Shell China China University of Petroleum (CUP) – Beijing and Huadong Institute of Geology and Geophysics, Chinese Academy of Sciences (CAS) China United Coalbed Methane Co Ltd (CUCBM) Jilin Oilfield PetroChina WP4 Partners
WP4: Storage Options • Objectives: • Build capacity in China for evaluating storage potential and performing appropriate first stage site characterisation for site selection. • Estimate the future potential for CO2 storage. • Mapping of CO2 sources and potential sinks will be carried out. • Tasks: • Regional basin assessments of storage potential for EOR, ECBM and saline formations • Site-selection and assessments for demonstration of storage. • GIS-based decision support tool will be developed.
Storage Options • Saline formations • Songliao Basin • As part of enhanced oil recovery operations • Songliao Basin (Jilin and Daqing oilfields) • Subei Basin (onshore only, Jiangsu oilfield) • As part of enhanced coalbed methane production • Qinshui Basin
WP4 Progress • WP4 launch meeting in January 2008 • Agreed timetable for project • Agreed basins for assessment • Basin methodologies workshop in May 2008 • Agreed methodologies for regional basin assessments • Reviewed initial results for all regions • Basin Assessment Conference in July 2008 • Joint meeting with COACH and GeoCapacity • Reviews of preliminary results for all current projects estimating storage capacities in China. • Interim report completed August 2008
Daqing Oil Field discovered in 1959 Jilin Oil Field discovered in 1959
Daqing oilfield estimated capacities 1CUP methodology - Assumes volumetric replacement for oil and dissolution in both oil and formation water
Jillin Oilfields estimated capacities 1CUP methodology - Assumes volumetric replacement for oil and dissolution in both oil and formation water
Binhai Uplift Troughs Yanfu Depression ① Jinhu ② Gaoyou ③ Qintong ④ Hai'an ⑤ Baiju ⑥ Yancheng ⑦ Funing ⑧ Liannan ⑨ Lianbei ⑩ Hongze ⑨ ⑦ ⑧ ⑥ Jianhu Uplift ⑩ ⑤ ① ② ③ ④ Dongtai Depression Caoshe Oilfield --Oilfield
Assessment results • 108 oil reservoirs of Jiangsu Oilfield have been assessed. • Total CO2 storage potential is 20.4614 Mt . • 75 reservoirs are suitable for CO2 EOR. • Calculation assumes CO2 trapping during EOR process only • Storage capacity of 15.76 Mt during the EOR process • 33 reservoirs are suitable for CO2 storage. • Based on volume of recoverable reserves • Storage capacity of 4.70 Mt
Stratum of Songliao Basin well1 well3 well2 K2n K2y K2qn K2q main saline aquifer: Qingshankou Fm The stratigraphic sequences are dominated by Cretaceous fluvial and lacustrine strata with volcanic and volcaniclastic rocks. 5 hydrostratigraphic units classified from bottom to top: JD, K2q, K2qn, K2y, K2n
Effective storage capacityof Deep saline aquifers in Songliao Basin • Songliao Basin (260,000 km2) • Average height 380m • Average reservoir porosity 10% • CO2 density at reservoir conditions 700 kg/m3 • Total regional effective storage capacity: (Storage coefficient of 1–2–10%applied)
Next steps… • Finalise basin reports • Site assessments and reports • Recommended sites for feasibility studies in Phase 2
Conclusions • Jilin, Daqing and Jiangsu oilfields offer variable potential for CO2 storage • They provide some storage potential as niche opportunities for CO2-EOR – especially in Jilin and Daqing • Small pilot CO2-EOR projects are already being undertaken • As such may provide incentives for a small-scale pilot demonstration of CCS. • Theoretical calculations for a selected saline aquifer suggests that the Qingshankou Formation could offer very large storage capacities • However, this is based on very low data density (concentrated around oilfields) • Further primary data acquisition is necessary to refine this estimate. • Comparisons with underlying reservoirs suggest specific field geology likely to be equally complex.
Jonathan PearceBritish Geological Survey, United Kingdom.Email: jmpe@bgs.ac.ukTel: +44 (0)115 9363222