While-drilling natural gamma curve prediction method based on time sequence algorithm
A natural gamma, time series technology, applied in stochastic CAD, special data processing applications, design optimization/simulation, etc., can solve the problems of high technical difficulty, large technical gap, and lack of formation characteristics of the drill bit, and achieves a solution to the sample insufficient effect
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[0026] Below in conjunction with accompanying drawing, the present invention is described in further detail:
[0027] The flow chart of the prediction method of natural gamma ray curve while drilling based on time series algorithm is as follows figure 1 As shown, it specifically includes the following steps:
[0028] Step S1: Establish a data set: select the natural gamma ray curve while drilling of the drilled wellbore as the data set.
[0029] Further, the gamma value while drilling of the drilled hole is the gamma value obtained by averaging the measured well depth after removing the gamma value and singular value of non-drilling records from the original gamma value while drilling.
[0030] Step S2: Establish ARIMA model: The establishment of ARIMA model includes multiple processes, such as moving average process MA, autoregressive process AR, autoregressive moving average process ARMA and ARIMA process, which can be selected according to whether the original sequence is ...
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