Search International and National Patent Collections

1. (WO2017155542) DOWNHOLE CEMENT EVALUATION USING AN ARTIFICIAL NEURAL NETWORK

Pub. No.:    WO/2017/155542    International Application No.:    PCT/US2016/021996
Publication Date: Fri Sep 15 01:59:59 CEST 2017 International Filing Date: Sat Mar 12 00:59:59 CET 2016
IPC: E21B 47/00
E21B 47/005
G01V 5/04
G01V 5/12
Applicants: HALLIBURTON ENERGY SERVICES, INC.
Inventors: HU, Yike
GUO, Weijun
Title: DOWNHOLE CEMENT EVALUATION USING AN ARTIFICIAL NEURAL NETWORK
Abstract:
Evaluation of borehole annulus cement quality is performed by an artificial neural network configured to estimate one or more cement attributes based on a radiation response of the annulus cement. A plurality of attributes indicative of quality of cement in the annulus can be estimated or derived based on gamma radiation response information (such as a gamma spectrum of the annulus cement). The artificial neural network is trained to perform the estimation by provision to the artificial neural network of training data from multiple example boreholes. The training data can include empirical data and/or simulation data.