关键词:
Unifi ed logging learning model
logging big data private cloud
machine learning
摘要:
Well logging technology has accumulated a large amount of historical data through four generations of technological development, which forms the basis of well logging big data and digital assets. However, the value of these data has not been well stored, managed and mined. With the development of cloud computing technology, it provides a rare development opportunity for logging big data private cloud. The traditional petrophysical evaluation and interpretation model has encountered great challenges in the face of new evaluation objects. The solution research of logging big data distributed storage, processing and learning functions integrated in logging big data private cloud has not been carried out yet. To establish a distributed logging big - data private cloud platform centered on a unifi ed learning model, which achieves the distributed storage and processing of logging big data and facilitates the learning of novel knowledge patterns via the unifi ed logging learning model integrating physical simulation and data models in a large - scale functional space, thus resolving the geo - engineering evaluation problem of geothermal fi elds. Based on the research idea of “logging big data cloud platform---unifi ed logging learning model---large function space---knowledge learning & discovery---application”, the theoretical foundation of unified learning model, cloud platform architecture, data storage and learning algorithm, arithmetic power allocation and platform monitoring, platform stability, data security, etc. have been carried on *** designed logging big data cloud platform realizes parallel distributed storage and processing of data and learning *** feasibility of constructing a well logging big data cloud platform based on a unifi ed learning model of physics and data is analyzed in terms of the structure, ecology, management and security of the cloud platform. The case study shows that the logging big data cloud platform has obvious techn