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"name": "Storage Appraisal - Appendix A5.6 - Exemplar Modelling and Dynamic Simulation of Bunter Sandstone Formation Closures in the Southern North Sea",
"author": [
{
"name": "M. Bentham",
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{
"name": "J. Williams",
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"familyName": "Williams",
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{
"name": "S. Harris",
"givenName": "S.",
"familyName": "Harris",
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{
"name": "M. Jin",
"givenName": "M.",
"familyName": "Jin",
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{
"name": "G. Pickup",
"givenName": "G.",
"familyName": "Pickup",
"@type": "Person"
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],
"editor": [
{
"name": "UK Energy Research Centre Energy Data Centre (UKERC EDC)",
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{
"name": "RPS Energy Ltd",
"contributorType": "ProjectMember",
"@type": "Organization"
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{
"name": "Senergy (Lead Coordinator)",
"contributorType": "ProjectMember",
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{
"name": "British Geological Survey",
"contributorType": "ProjectMember",
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},
{
"name": "Durham University",
"contributorType": "ProjectMember",
"@type": "Organization"
},
{
"name": "Herriot Watt University",
"contributorType": "ProjectMember",
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},
{
"name": "Imperial College",
"contributorType": "ProjectMember",
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{
"name": "University Of Edinburgh",
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{
"name": "Element Energy",
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{
"name": "Geopressure Technology",
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"description": "This document is a supporting document to deliverable MS6.1 UK Storage Appraisal Final Report.
The aim of this work was to build a 3D geocellular model of the reservoir and sealing formations for a closure in the Bunter Sandstone Formation which could be used to model CO2 injection. A region in storage unit 139.000 (zone 4 Bunter Sandstone Formation) of 44.0 km by 25.2 km was chosen for detailed modelling.The target daughter storage unit 139.016 (Bunter closure 36) was chosen for modelling as:No faulting was visible on the seismic over the closureThe storage capacity was estimated to be large enough to store a sizable amount of CO2The area included three additional closures that could be used to study the impact of CO2 injection on adjacent storage unitsData coverage was good over the chosen areaThe static geocellular model was constructed by BGS in PETRELTM using PGS seismic surfaces, IHS well tops (from the EDIN database), well logs (for 12 wells) and core data for one well.
Some important findings arose from this study:-The storage capacity may be controlled by either the pressure (when the pressure increases above the maximum limit, the rate must be reduced), or the migration rate (if a high injection rate is maintained, CO2 will reach the spill point more rapidly).The pore volume utilisation and total capacity are quite sensitive to the assumed value for the fracture pressure gradient. A change in this gradient may switch the storage control from pressure-controlled to rate-controlled.The storage capacity for an open model may be less than that for a closed system, if heterogeneity encourages a low pore volume utilisation.It is import to monitor the pressure at the crest of a dome. Even when the injection rate is pressure controlled at the depth of the well completions, the pressure may rise above a safe limit in the crest.It may be possible to increase storage capacity by controlling the injection rate. A lower rate will allow CO2 more time to rise buoyantly and to dissolve in brine, before reaching the spill point.",
"keywords": "Carbon Capture and Storage, FOSSIL FUELS: OIL, GAS and COAL (CO2 Capture and Storage)",
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"datePublished": "2011",
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"name": "ETI"
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