A description of the hardware–software complex designed and manufactured for the operational assessment of the concentration of a dissolved substance in a water stream on the lower surface of metal pipes in various technological lines without sampling is presented. At the Trofimuk Institute of Petroleum Geology and Geophysics SB RAS the dependences of the electrical conductivity of aqueous solutions on temperature were studied under specific conditions – in an electrically conductive cell. Physical experiments were performed using solutions of different mineralization (from 0.5 to 300 g/L), in a measuring cell made of steel of small volume (8.14 cm3). Mathematical modeling of solution mineralization assessment has been performed.
When solving inverse problems of magnetotelluric sounding (MTS), equivalent solutions appear, noticeably different from each other. But the solution of a direct problem under a given medium model and boundary conditions is the only one, the response of the medium to the source of the electromagnetic field is unique. An algorithm is considered that leads to an accurate solution of the test problem when striving for zero inconsistencies in input and model data. Several starting medium models and two optimization methods are used: a nonlinear least squares method with calculations of the sensitivity matrix and a method based on metaheuristic algorithms used when target functions have several local minima. Using numerical calculations, a stable solution of the inverse MTS problem for the 3D-medium model was obtained.
The paper analyzes how the use of additional information obtained thought the borehole gravimetric measurements affects the accuracy of determining the parameters of the medium when evaluating elastic impedances in the framework of AVO-analysis. The possibility of increasing the accuracy of seismic survey results in the procedure for determining elastic parameters through the use of borehole gravimetry data has been demonstrated.
The seismic field of the Triassic deposits of the sedimentary section of the Barents Sea is characterized by numerous reflections of increased intensity. These reflections are due to the Jurassic-Cretaceous basaltoid magmatism. On the case of the Ledovoe field, the features of the waves propagation associated with the intrusions – multi-tiered sills are shown. Regularities in the distribution of increased seismic time thicknesses of the mapped sills are revealed, and their relation to faults is established.
This work is devoted to the development and testing of an algorithm for adaptive subtraction of multiple reflected waves using a convolutional neural network. The algorithm is one of the main steps in the method of suppression of multiple reflected waves based on the separation of wave forms in the Radon region. The paper considers the formulation of a problem for a neural network, the preparation of training and test data sets and the testing of the algorithm. Using a convolutional neural network allows to automate and speed up the adaptive subtraction procedure. The algorithm was tested on synthetic data. Testing shows the effective adaptation of multiple waves, as well as the importance of correctly constructing a model of multiples.
