According to an example, with respect to blast reconciliation for mines, pre blast measurement data and post blast measurement data associated with a blasting operation for a mining site may be ascertained from a pre and post blast measurer. A blast reconciliation model may be generated using existing pre blast measurement data and existing post blast measurement data, and used to analyze the ascertained pre blast measurement data and the ascertained post blast measurement data. Based on the analysis of the ascertained pre blast measurement data and the ascertained post blast measurement data, a blast material yield for the mining site may be determined as a result of the blasting operation. An alert indicative of the blast material yield may be generated.

A method of mapping reservoir fluid in a mature field includes identifying a region of interest within a hydrocarbon field, drilling a plurality of production wells through the region of interest, and collecting mud gas data as each production well is drilled. This mud gas data is used to generate a reservoir fluid property log, such as gas-oil ratio log, along a length of each of the production wells, which is in turn used to generate a refined model based on the 4D seismic data. The refined model permits better reservoir fluid mapping and has an improved vertical resolution at the region of interest than the first model of the field.

A fracture mapping system for use in hydraulic fracturing operations utilizing non-directionally sensitive fiber optic cable, based on distributed acoustic sensing, deployed in an observation well to detect microseismic events and to determine microseismic event locations in 3D space during the hydraulic fracturing operation. The system may include a weighted probability density function to improve the resolution of the microseismic event on the fiber optic cable.

An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

A method for training a backpropagation-enabled segmentation process is used for identifying an occurrence of a sub-surface feature. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A prediction of the occurrence of the subsurface feature has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

The present invention concerns a method for determining the optimum positioning of source-receiver pairs capable of acquiring seismic data, comprising: a first step of identifying a zone of interest having been the subject of an earlier seismic acquisition, in order to obtain an image of the subsoil of same; a second step of obtaining seismic data acquired during the earlier seismic acquisition of said zone of interest during a time of interest; a third step of applying a partial or total demigration of seismic data, in order to determine the positions of each source-receiver pair having contributed to the image of said subsoil of said zone of interest during said time of interest; a fourth step of obtaining unprocessed traces for said source-receiver pair positions; a fifth step of selecting at least one optimum unprocessed trace from among said unprocessed traces; and a sixth step of determining the source-receiver pair positions corresponding to said at least one optimum unprocessed trace.

A fault indicator calculator, a method for determining a fault indicator, and a fault indicator calculating system are disclosed herein. One embodiment of a fault indicator calculator includes: 1) an interface configured to receive seismic data, and 2) a processor configured to scan a manifold-shaped operator through said seismic data at a range of dips and azimuths and calculate fault throws at various orientations of said dips and azimuths independent of determining other fault indicators.

A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Method, apparatus, and computer program product are provided for retrieving analogues using topological knowledge representation (TKR). In some embodiments, a TKR input query is built and/or validated using a domain-specific knowledge base (KB). A search database containing candidate analogues and corresponding pre-built TKRs is then searched to retrieve at least one analogue of the TKR input query using statistical analysis. In some embodiments, a system may build the TKR input query based on a seismic dataset. For example, the system may receive a seismic dataset, segment the seismic dataset and classify each region using a computer vision (CV) database and the KB, and build the TKR input query based on the segmented and classified seismic dataset. In some embodiments, the TKR input query may be input and/or edited by a user. For example, the TKR input query may be input and/or edited by the user and validated using the KB.