Title:

Identifying Abberant Segments in Permanent Downhole Gauge Data

Author:

Emuejevoke Origbo

Year:

2010

Degree:

MS

Adviser:

Horne

File Size:

1 MB

View File:

Access limit exceeded

Access Count:

239

Abstract:

Data from permanent downhole gauges are needed for interpretation of subsurface conditions in a well. The data from permanent downhole gauges are voluminous and usually contains aberrant segments. Using this aberrant data to characterize the reservoir leads to generation of inaccurate reservoir parameters (permeability, skin and storage). The approach used in this work to solve the problem of interpretation of permanent downhole gauge data was by generation of multisegment synthetic pressure data using the pressure equation with all the reservoir parameters known. An aberration was introduced in the form of a pressure segment that went against the reservoir physics; it decreased with a production shut in, when it should increase. An algorithm based on direct Kalman filtering technique was developed which was independent of the reservoir model and extracted a signal with the minimum error (mean square deviation) from the noisy/aberrant signals. In this way, aberrant segments were successfully identified, removed and the original signal with actual reservoir parameters recovered.


Press the Back button in your browser.

Copyright 2010, Emuejevoke Origbo: Please note that the reports and theses are copyright to their original authors. Authors have given written permission for their work to be made available here. Readers who download reports from this site should honor the copyright of the original authors and may not copy or distribute the work further without the permission of the author, Emuejevoke Origbo.

Accessed by: ec2-3-236-18-161.compute-1.amazonaws.com (3.236.18.161)
Accessed: Monday 28th of November 2022 04:04:59 AM