Hitachi, Ltd.

Anshuman Sahu

Ravigopal Vennelakanti

Umeshwar Dayal

Iwao Tanuma

Yoshiyuki Kobayashi

Hiroshi Yoshikawa

Chetan Kumar Gupta

Makoto Iwayama

Song Wang

Masami Yamasaki

Hiroaki Ozaki

Shouchun Peng

Bin Tong

Christophe Loth

In some examples, a system may receive log data including a depth-series of data for a sensed parameter. The system may determine a parameter value of the depth series data for individual subunits of depth corresponding to a larger unit of depth. The system may further determine a scale of graphic effects corresponding to parameter values for the depth-series data. The system may present, on a display, a visualization of the depth-series data. For instance, the visualization may include a plurality of cells arranged in a plurality of rows, with each cell corresponding to the larger unit of depth and including a plurality of subcells corresponding to the subunits of depth. Additionally, each subcell may be presented with a respective graphic effect corresponding to the parameter value determined at a corresponding depth, and the graphic effect may correspond to the parameter value on the scale of graphic effects.

Geological formation and log visualization

Example implementations disclosed herein are directed to monitoring communications networks in real time to ensure that they are performing in a desired fashion. Metrics such as utilization and latency are monitored to ensure that customer SLAs (Service Level Agreements) are met in a timely fashion. To detect problems in advance, example implementations predict the future values of metrics and detect events if the future value violates certain conditions. Example implementations build models that can predict the future values of metrics and analyze historical, near real time and real time streaming data so as to build predictive models.

Performance monitoring at edge of communication networks using hybrid multi-granular computation with learning feedback

Systems and methods are directed to oil and gas management. In example implementations, data relating to oil and gas management is aggregated and placed in a cube along several cube dimensions, which can include scalar, temporal and spatial dimensions. The dimensions can be structured as a hierarchy, such that output can be generated as a roll up or roll down along the hierarchy.

Automatic method of generating decision cubes from cross dependent data sets

Provided is a production amount prediction system including: a storage unit which stores a production amount prediction model which is based on resources information including a resources amount obtained in a previously drilled wellbore and a resources recovery probability in the vicinity thereof; an input unit which receives a trajectory coordinate of a planned wellbore as an input; a production amount prediction unit which calculates a production amount of the planned wellbore based on the production amount prediction model by using a degree of influence of the previous wellbore on the planned wellbore as at least one parameter; and a display unit which displays the production amount of resources of the planned wellbore calculated by the production amount prediction unit.

System for predicting amount of production and method for predicting amount of production

The problem solved by this invention is to convert text information in a geology report to numerical values which reflects geological characteristics of a well's subsurface. Prior art referred above cannot be applicable to this problem. Since text information in the geology report is in the natural language form. This information is not widely used in this industry, due to the fact that the text information can be hardly extracted and summarized into numerical values and integrated into current physical geology models or statistical models. This invention makes the text information in geology report, which is often in a natural language form, easier to be integrated into current geology physical models or statistical models. Also, the numerical values extracted from the geology report can be integrated with other kinds of data, such as seismic data and well-logging data, to obtain more accurate and comprehensive analysis results.

Information analysis system

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San Jose, CA, United States of America

Anshuman Sahu