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WP4: Assessing capacity for CO 2 storage in selected regions of China Jonathan Pearce 23 rd October 2008. Outline. Introduction to WP4 Objectives Regional studies Site assessments Outputs. UK British Geological Survey (BGS) BP Heriot Watt University Shell. China
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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