Diagnosis of Cementing Oil Wells using Machine Learning
SVM are used to obtain relevant patterns which are validated by experts and become knowledge templates.
Category: Oil Industry Application
Technologies: Support Vector Machines (SVM), C++, C#, VTK.
Cementation is the process of filling with a special cement the separation between the casing and the rock formation. This process is evaluated with an ultrasonic tool called CBL-VDL, which generates the first two logs shown in the upper-left figure, the third log is produced by another tool that measures the acoustic impedance between the casing and bonding cement. A clustering algorithm (from the University of Massachusetts-Lowell) based on SVM machines is used to obtain the relevant patterns (classified patterns in the upper-right figure), these patterns are pre-classified by the SVM machine and them validated by experts and become knowledge templates. Knowledge templates are used as inputs to a SVM classifier. This classifier is used to diagnose the cementation quality in this borehole and other boreholes of the same oilfield. The last log of the upper-left figure is the result of the diagnosis process. This procedure is patent pending.
Linear, Nonlinear and Statistical Image Log Processing Image...
Diagnosis of Cementing Oil Wells using Machine Learning SVM ...