Gamma fusion computing method based on gamma probe state parameters

A gamma fusion computing method based on gamma probe state parameters, comprising steps of:

• step (1) acquiring judgment benchmark comprising:
• after a tool enters a well and is calibrated, acquiring measured values of two gamma probes within one continuous rotation period by a gamma measurement conversion processing module;
• respectively calculating a mean and a variance of the measured values measured by the two gamma probes, adopting the mean value and variance as evaluation reference values of each of the gamma probes;
• step (2) abnormality judging comprising:
• comparing the measured value of each of the gamma probes in a next rotation cycle with a judgment reference value, and judging whether each of the gamma probes is abnormal according to a comparison result;
• if each of the gamma probes is determined to be normal, taking the mean value and variance of the measured values of the gamma probes in the rotation cycle as an evaluation reference value of the next rotation cycle;
• if the gamma probes are identified as abnormal, keeping the evaluation reference value remains unchanged and recording an abnormal gamma probe number by a rotary steerable downhole control unit;
• and
• step (3) measured gamma outputting comprising:
• if the two gamma probes are normal, comparing the mean and variance of the measured values of the two gamma probes, and taking the mean and variance of the gamma probes with the most stable mean and variance as a reference computing value, weighing and fusing the measured values measured by the two gamma probes with a weight value, and outputting to the output as a final measured gamma;
• if one of the gamma probes is abnormal, an average value of the measured values of the normal gamma probe in the rotation cycle is multiplied by 2 as a gamma output value to the output.