Closed-Loop Reservoir Management for Thermal Recovery Processes

Shaker, Wisam

Closed-Loop Reservoir Management for Thermal Recovery Processes

atmire.migration.oldid	3792
dc.contributor.advisor	Chen, Zhangxing (John)
dc.contributor.advisor	Walker, Greg
dc.contributor.author	Shaker, Wisam
dc.date.accessioned	2015-10-05T19:10:09Z
dc.date.available	2015-11-20T08:00:44Z
dc.date.issued	2015-10-05
dc.date.submitted	2015	en
dc.description.abstract	The combination of model-based optimization and simulation into a single workflow forms the main components of a powerful tool called Closed-Loop Reservoir Management (CLRM). Real-time reservoir management has been applied mostly for water flood application and there is lack of information on application of CLRM for a thermal recovery process. In this research, a novel methodology has been developed to value surveillance prior to acquisition for a Steam Assisted Gravity Drainage (SAGD) process. The workflow evaluates the values of a rate, pressure and temperature surveillance represented by their measurements in injectors, producers and observation wells in a SAGD project. A 2D SAGD reservoir has been used to test the validity of the developed methodologies. The results rejected the null hypothesis proposed and show that these three types of surveillance are uncorrelated, and in the test have reduced the uncertainty range of the future reservoir outcomes by 84%. The power and utility of the developed approach have been expanded to generate a second workflow. The testing workflow represents a new application of the CLRM on thermal cases to test the type of surveillance, the number and locations of the required observation wells and the period of history matching in a 3D SAGD reservoir with the intent of discarding models that would satisfy history at the production well and would be poor predictors. The workflow tests how would the future reservoir outcomes that are controlled by observation wells capture the growth of a steam chamber during the SAGD process. A third comprehensive workflow has been developed to combine an Ensemble Kalman Filter (EnKF) algorithm and simulation with a thermal option to data assimilates of a 2D SAGD reservoir permeability. It is proposed to use the updated reservoir permeability as an input for the reservoir simulation runs from initial time to eliminate any inconsistency between the updated reservoir permeability and the dynamic reservoir properties. The frequency of the updating has been investigated and the outcomes show that incorporating more production data at the first year of production has reduced the uncertainty range of future cumulative oil production in the range of 50-70%.	en_US
dc.identifier.citation	Shaker, W. (2015). Closed-Loop Reservoir Management for Thermal Recovery Processes (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25335	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/25335
dc.identifier.uri	http://hdl.handle.net/11023/2607
dc.language.iso	eng
dc.publisher.faculty	Graduate Studies
dc.publisher.institution	University of Calgary	en
dc.publisher.place	Calgary	en
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject	Engineering--Petroleum
dc.subject.classification	SAGD	en_US
dc.subject.classification	Assisted History Matching	en_US
dc.subject.classification	Surveillance Optimization	en_US
dc.subject.classification	Closed Loop Reservoir Management	en_US
dc.title	Closed-Loop Reservoir Management for Thermal Recovery Processes
dc.type	doctoral thesis
thesis.degree.discipline	Chemical and Petroleum Engineering
thesis.degree.grantor	University of Calgary
thesis.degree.name	Doctor of Philosophy (PhD)
ucalgary.item.requestcopy	true