Intelligent interpretation and evaluation method for logging oil-gas-water layer
An evaluation method and water layer technology, which is applied in the field of comprehensive analysis software for mud logging data, can solve the problems of tedious and time-consuming manual interpretation, ignoring data information, intelligent interpretation and evaluation of undiscovered mud logging oil, gas and water layers, etc.
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Embodiment 1
[0050] The specific steps of the mud logging interpretation evaluation method based on the classification model are as follows:
[0051] 1), data preprocessing, delete and sort out the original data, delete outliers, including data preparation, data cleaning, data integration, data transformation and data reduction
[0052] 2), select the appropriate proportion of training set and test set, and create four classification models of Naive Bayesian, decision tree, BP neural network and support vector machine for training
[0053] 3) Verify and evaluate the classification results of the four classification models of naive Bayesian, decision tree, BP neural network and support vector machine
[0054]Using four classification algorithms based on the classification model, naive Bayesian, decision tree, BP neural network, and support vector machine, to classify the rock pyrolysis technology of Minghuazhen Formation heavy oil in a certain area, after step 1) Data preprocessing, the ro...
Embodiment 2
[0056] The specific steps of the mud logging interpretation evaluation method based on time series mode are as follows:
[0057] 1), select the standard display curve segment, including the standard gas curve of oil layer, oil-water layer, oil-bearing water layer and water layer ( Figure 6 )
[0058] 2), using the activity stratification method to process the gas logging curve of the whole well, and obtain the comparison curve segment
[0059] 3), carry out piecewise linear representation and equal-length transformation and reciprocal processing to comparison curve and standard curve ( Figure 7 , 8 ,9)
[0060] 4), calculate the distance between the comparison curve and the standard curve, including the distance based on the shape and slope, the Euclidean distance and the dynamic time bending distance, compare and analyze the different distances, and combine the manual identification to qualitatively compare the curve ( Figure 10 ) using the similarity search method bas...
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