FEATURES INTERPRETED WELL HIGH LATITUDINAL INCLINOMETER MEASUREMENTS AZIMUTHAL ANGLES

Abstract

Interpretation of directional measurements of azimuthal angles in oil and gas wells without tracking actual seasonal and short-term changes in the geomagnetic field (GMF) leads to significant errors. However, the recovery of short-term variations with the required accuracy without direct measurements in the field, is a complex task. In this regard, in order to improve the accuracy of directional measurements at high-oil and gas fields, solves the problem of restoring short-term variations of the PMG, signal filtering borehole inclinometer (SI) using the moving average method and means of wavelet analysis, interpretation of signals SI, taking into account the Magnetic influences, evaluation error magnetometric SR method for azimuthal angles close to 90° and 270°. Interpretation of the results obtained inclinometer measurements taking into account the geomagnetic anomalies, short-term variations of the geomagnetic field and the drift of the North Magnetic Pole allowed to exclude methodological measurement error. However, analysis of measurement errors domestic inclinometers showed their metrological contrast settings between them. It is possible to explain disorder of results of measurements by absence metrological of the geophysical equipment directly on a deposit, that does not allow for timely metrological service BI, and in terms of their small number, the complexity of their introduction rotational operation. The performed wavelet filtering primary logging signals inclinometers demonstrated its effectiveness in comparison with the signal processing method of moving average (MMA). The MMA filtering can be used in real time. But tends filtering errors caused by the location of wells along the axis inclinometer not well or dynamic oscillations at a flow of washing liquid, averaged desired signal loses its informative value. Wavelet filtering based on a frequency analysis of the signal and, depending on the filter parameters, determining its level, can eliminate the undesirable influences on the signal without losing the information content. This paper shows the effectiveness of wavelet only filtration. A detailed analysis of the behavior of the SI in the well and the selection of parameters required levels of filters to eliminate unwanted influences seen outside of this article.