?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F170%2F&rft.title=An+Automated+Algorithm+for+Decline+Analysis&rft.creator=Pyke%2C+Randall&rft.subject=Energy+and+utilities&rft.description=Oil+and+gas+wells+are+regularly+monitored+for+their+production+rates.+For+a+variety+of+reasons%2C+typical+production+rate+data+is+noisy+and+highly+discontinuous%2C+and+we+wish+to+use+this+data+to+extrapolate+trends+in+the+production+rate+to+forecast+future+production+and+ultimate+cumulative+reserve+recovery.%0A%0AThe+proposed+solution+consists+of+three+main+steps%3A+(1)+Segmentation+of+Data%2C+(2)+Curve+fitting%2C+and+(3)+a+Decision+Process.+Segmentation+of+Data+attempts+to+identify+intervals+in+the+data+where+a+single+trend+is+dominant.+A+curve+from+an+appropriate+family+of+functions+is+then+fitted+to+this+interval+of+data.+The+Decision+Process+gauges+the+quality+of+the+trends+identified+and+either+formulates+a+final+answer+or%2C+if+the+program+cannot+come+to+a+reliable+answer%2C+'%0Aflags'+the+well+to+be+looked+at+by+an+operator.&rft.date=2001&rft.type=Study+Group+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F170%2F1%2Fdecline_analysis.pdf&rft.identifier=++Pyke%2C+Randall++(2001)+An+Automated+Algorithm+for+Decline+Analysis.++%5BStudy+Group+Report%5D+++++