Petroleum Upstream Production (Exploration And Development) Data Category Studying

Current international and domestic major oil companies attach great importanceto information systems and database construction. Straightforward purpose is toreduce management costs and enhance quality control, speed up data lookup andreduce data loading time, share data resources and quickly grasp productiondynamic information, and improve decision-making management level.Vast amounts of heterogeneous data management and application has been thebottleneck of the oil industry database and information system. To build a unifiedinformation management system it must be addressed though those data coming frommulti-disciplinary, multi-subject, different types of historical span. Structured data inan Petrochina oil field exploration database only is about1GB, unstructured data isabout10TB including vector graphics, scanned graphics, documents and others.Disciplinary involved in includes seismic, drilling, logging, logging, oil test testmining, underground work, analysis and testing. Within the industry not yet hasscientific and mature solution.It is the entry point to solve the above problem that Starting from the dataclassification, creating a unified exploration and development data model and usingfor its historical data and new data management.The development of information systems architecture has experiencedprocess-oriented architecture, object-oriented architecture, and currentservice-oriented architecture (SOA). In fact, domestic scholars have recently beenproposed data-oriented architecture (DOA) in which data as the core and label as themain line show everywhere. This shows that data management and application hasbecome the core from research institutions to application enterprise.This subject, petroleum upstream production data category studying (includingexploration and development), carry out category studying on Massive, heterogeneousdata collected and formed in oil and gas exploration and development, will form ascientific category method and a uion exploration and development data model, usefor building union date mangament and apply platform. Main results of this article areas follows: 1、MDDCM（MDDCM, Multi Demension(3D) Data Categories Model）has beenput up for oil and gas exploration and development upstream production data. Thefirst “D” is oil and gas business, from it data can be category into geology,geophysical prospecting, drilling and so on; the second “D” is data property ofproduction, from it data can be category into planning, operating and achievement,the third “D” is data manifestation, from it data can be category into Structured dataand unstructured data. This model can guiding oil and gas exploration process; andis beneficial to data applying and service paltform supporting, also profitable todigital fields construction.2、MDIDCM（MDDIDCM, Multi Demension Data Integration and DatabaseConstruction Method）is serving for data produced from upstream production whichalso means oil and gas exploration and development. According to MDDCM,business driving principle and POSC which has been used internationally, thecorrespondences is established between POSC and Petro-china exploration anddevelopment data, in this process also identified key data type and key business item.On this basis, key data type and key business item are integrated and screened, and oiland gas exploration and development unity conceptual model is set up.3、 A system has been planed and realized preparatory to comprehensivemanaging and applying data produced from upstream production. It includs datagather and store，data process and apply.