专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2016130001A1 COMPUTER SUPPORTED EXPLORATION AND PRODUCTION OF HETEROGENEOUS DISTRIBUTED HYDROCARBON SOURCES IN SUBSURFACE FORMATIONS BASED ON MICROBIAL PROSPECTING. 审中-公开
标题翻译：计算机支持探索和生产基于微观前景的表面形态中异源分布的烃源。
公开(公告)号：WO2016130001A1
公开(公告)日：2016-08-18
申请号：PCT/NL2016/050093
申请日：2016-02-09
申请人： BIODENTIFY B.V.
发明人： TE STROET, Christianus Bernardus Maria , MONTIJN, Roy Christiaan , LEVIN, Evgeni , SCHUREN, Frank Henri Johan
IPC分类号： C12Q1/64 , G06F19/00
CPC分类号： E21B41/0092 , C12Q1/64 , E21B43/26 , E21B49/02 , G06F17/30241 , G06F17/30864 , G06F2216/03
摘要： A computer supported method, computer system and computer program product for exploring and producing a subsurface heterogeneous hydrocarbon source and generating a predictive production map of an area under investigation, based on microbial prospecting. Microbial data representative of microbial activity attributable to hydrocarbon microseepage and hydrocarbon productivity data of a plurality of geographic locations are retrieved and correlated by the computer in a data correlation algorithm, providing a threshold hydrocarbon productivity quantity and a truncated set of the retrieved microbial data. The set identifies individual types of the microorganisms and corresponding individual weighting factors computed by the data correlation algorithm, for distinguishing prospective hydrocarbon productivity quantities from non-prospective hydrocarbon productivity quantities. An estimated subsurface hydrocarbon productivity quantity for a geographical location of the area under investigation is provided by count weighting retrieved microbial data of this location for microorganisms identified in the truncated set, applying the individual weighting factors.
摘要翻译：一种计算机支持的方法，计算机系统和计算机程序产品，用于探索和生产地下非均质烃源，并基于微生物勘探生成被调查区域的预测性生产图。表示可归因于多个地理位置的碳氢化合物微量页岩和碳氢化合物生产力数据的微生物活性的微生物数据由数据相关算法中的计算机检索和相关，提供阈值烃生产量和所检索的微生物数据的截断组。该集合识别由数据相关算法计算的微生物的个体类型和相应的单独加权因子，用于区分未来烃生产量与非预期烃生产量的数量。对被调查区域的地理位置的估计地下碳氢化合物生产力数量是通过计数加权来检索在该截断组中识别的微生物的该位置的微生物数据，应用各个加权因子。

IPRDB

热门服务

关于我们

友情链接

联系方式