使用人工神经网络预测电缆测井  

Prediction of wireline logs using artificial neural networks

出　　处：《国外测井技术》2024年第6期21-21,共1页World Well Logging Technology

摘　　要：描述了用于实现预测在地下区域的钻井操作中使用的电缆测井的系统的方法和系统,包括编码在计算机存储介质上的计算机程序。该系统从第一电缆测井导出输人,并且包括基于被训练以生成数据预测的神经网络的预测模型。预测模型通过神经网络层处理从第一电缆测井导出的输人,以生成识别地下区域中的储层的多个第二电缆测井的预测。基于多个第二电缆测井,系统控制模拟油藏碳氢化合物生产的钻井操作。Methods and systems,including computer programs encoded on a computer storage medium are described for implementing a system that predicts wireline logs used in well drlling operations at a subsurface region.The system derives inputs from a first wireline log and includes a predictive model based on a neural network trained to generate data predictions.The predictive model processes the inputs derived from the first wireline log through layers of the neural network to generate a prediction that identifies multiple second wireline logs for a reservoir in the subsurface region.Based on the multiple second wireline logs,the system controls well drilling operations that simulate hydrocarbon production at the reservoir.

关 键 词：计算机程序 神经网络 数据预测 电缆测井 网络层 存储介质 预测模型 系统控制 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]