Logging interpretation report intelligent generation method, system and device

Abstract

The invention discloses a logging interpretation report intelligent generation method, system and device. The method specifically comprises the following steps of: forming standard structured and unstructured data based on well logging, well drilling, well logging and oil testing data of a wellbore; obtaining processing experience and knowledge of interpreters in real time, and forming and storingan achievement curve, an interpretation conclusion, an achievement table and achievement picture data; selecting an interpretation report template according to the logging category, the measurement item and the logging curve information; analyzing and explaining the selected report template, forming a preliminary report which can be previewed and modified on line from the selected data, modifyingthe preliminary report on line, screening the data, storing the modified report configuration and content, automatically generating a well logging interpretation report, and effectively shortening the time for compiling the interpretation report from the original 3-5 days to less than 1 day; shaft related data is managed based on a database, data is intelligently read by a report, report correctness is improved, and an interpretation report template is extensible and can be flexibly configured.

Description

technical field [0001] The invention belongs to the technical field of petroleum and natural gas exploration and development, and in particular relates to a method, system and device for intelligently generating well logging interpretation reports. Background technique [0002] At present, in the petroleum logging industry, after the interpreters get the well data collected from a well site, they process and interpret the well with the help of processing software and human experience, and form data such as interpretation conclusions and interpretation result maps. This set of procedures At present, there are mature software support. In addition, the interpreter also needs to provide an interpretation report of the well, but the report is currently written manually by the interpreter, which is very cumbersome and time-consuming, because the interpreter first needs to refer to various materials, such as the drilling of the well. , mud logging, oil testing and other data, or r...

AI Technical Summary

Problems solved by technology

In addition, the interpreter also needs to provide an interpretation report of the well, but the report is currently written manually by the interpreter, which is very cumbersome and time-consuming, because the interpreter first needs to refer to various materials, such as the drilling of the well. , mud logging, oil testing and other data, or related data of adjacent wells, these data formats are various, including structured and unstructured, and secondly, it is necessary to put the interpretation conclusion and result map formed by processing the interpretation into the interpretation report Finally, the interpreter should explain the reasons and characteristics of the interpretation results of each geological layer according to his own interpretation experience. The description of these results is very dependent on the brain of the interpreter. If the interpreter does not record it when processing the interpretation, then It is very likely that some content will be forgotten when the report is finally written, which will affect the quality of the interpreted report

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