首页> 外国专利> Method For Remote Identification And Characterization of Hydrocarbon Source Rocks Using Seismic and Electromagnetic Geophysical Data

Method For Remote Identification And Characterization of Hydrocarbon Source Rocks Using Seismic and Electromagnetic Geophysical Data

机译：地震和电磁地球物理数据远程识别烃源岩特征的方法

页面导航

摘要
著录项
相似文献

摘要

Method for assessing hydrocarbon source rock potential of a subsurface region without well log information. The method uses surface electromagnetic (121) and seismic (122) survey data to obtain vertical profiles of resistivity and velocity (123), which are then analyzed in the same way as well log data are analyzed by the well known DeltaLogR method (124).

机译：在没有测井信息的情况下评估地下区域烃源岩潜力的方法。该方法使用表面电磁（ 121 ）和地震（ 122 ）测量数据来获得电阻率和速度（ 123 ）的垂直剖面，它们分别是然后以与已知的DeltaLogR方法（ 124 ）分析测井数据相同的方式进行分析。 展开▼

著录项

公开/公告号US2011108283A1

专利类型

公开/公告日2011-05-12

原文格式PDF

申请/专利权人 LEONARD J. SRNKA;QUINN R. PASSEY;KEVIN M. BOHACS;DAVID R. CONVERSE;YAPING ZHU;
展开▼

申请/专利号US20100872783

发明设计人 LEONARD J. SRNKA;QUINN R. PASSEY;KEVIN M. BOHACS;DAVID R. CONVERSE;YAPING ZHU;
展开▼

申请日2010-08-31

分类号E21B43;G01V3/12;G01V1/30;G06F19;G06F7/60;

国家 US

入库时间 2022-08-21 18:16:25

相似文献

专利

外文文献

中文文献

1. 兼具电磁和地震数据采集功能的地球物理勘探仪器 [P] . 中国专利： CN104678456A . 2015-06-03

2. 兼具电磁和地震数据采集功能的地球物理勘探仪器 [P] . 中国专利： CN204405873U . 2015.06.17

3. METHOD FOR REMOTE IDENTIFICATION AND CHARACTERIZATION OF HYDROCARBON SOURCE ROCKS USING SEISMIC AND ELECTROMAGNETIC GEOPHYSICAL DATA [P] . CA2778336C . 2018-01-02

机译：利用地震和电磁地球物理数据对烃源岩进行远程识别和表征的方法

4. "method for remote identification and characterization of hydrocarbon source rocks using seismic and electromagnetic geophysical data" [P] . IN2012DN03562A . 2015-10-30

机译： “使用地震和电磁地球物理数据远程识别和表征烃源岩的方法”

5. Method for remote identification and characterization of hydrocarbon source rocks using seismic and electromagnetic geophysical data [P] . AU2010315650B2 . 2014-09-11

机译：利用地震和电磁地球物理数据远程识别和表征烃源岩的方法

1. Comprehensive geochemical identification of highly evolved marine hydrocarbon source rocks： Organic matter, paleoenvironment and development of effective hydrocarbon source rocks [J] . 腾格尔, 刘文汇, 徐永昌, 中国地球化学学报：英文版 . 2006,第004期

2. Identification methods of coal-bearing source rocks for Yacheng Formation in the western deepwater area of South China Sea [J] . REN Jinfeng, ZHANG Yingzhao, WANG Hua, 海洋学报（英文版） . 2015,第004期

3. Methods for source rock identification on seismic data: An example from the Tanezzuft Formation (Tunisia) [J] . del Monte A. Amato, Antonielli E., De Tomasi V., Marine and Petroleum Geology . 2018,第期

4. Identification of Structural Parameters for Groundwater Development in Hard Rock Terrain using Remote Sensing, GIS and Geophysical Methods [J] . Ravikumar D, Singh GR, Umesh BN, Environment and Ecology . 2007,第2期

5. Can hydrocarbon source rocks be identified on seismic data? [J] . L?seth H., Wensaas L., Gading M., Geology . 2011,第12期

6. Structural characterization of rockfall sources in Yosemite Valley from remote sensing data and field surveys [C] . Battista Matasci, Dario Carrea, Michel Jaboyedoff, Pan-American conference on soil mechanics and geotechnical engineering;Pan-Am CGS geotechnical conference;Canadian geotechnical conference . 2012

7. Probabilistic Methods for Inversion of Marine Controlled Source Electromagnetic Data Using Rock Physics Modeling for Reservoir Characterization [D] . Ayani, Mohit. 2020

8. Seismic data of a rockslide: Evaluation of noise levels site effects frequency content and identification of seismic phases [O] . Mar Tapia, Marta Guinau, Pere Roig, 2020

9. An Assessment of Water Sources for Heritage Listed Organic Mound Springs in NW Australia Using Airborne Geophysical (Electromagnetics and Magnetics) and Satellite Remote Sensing Methods [O] . Jasmine Rutherford, Tania Ibrahimi, Tim Munday, 2021

10. Identification of Mineral Resources in Afghanistan Detecting and Mapping Resource Anomalies in Prioritized Areas Using Geophysical and Remote Sensing (ASTER and HyMap) Data [R] . King, T. V. V., Johnson, M. R., Hubbard, B. E., 2011

1. Application of Geophysical and Remote Sensing Methods to Predict for Potash Resource [J] . ZHU Weiping ,ZHANG Yongmei . 地质学报：英文版 . 2014,第S1期

2. Identification of the sources of polycyclic aromatic hydrocarbons based on molecular and isotopic characterization from the Yangtze estuarine and nearby coastal areas [J] . OU Dongni ,LIU Min ,CHENG Shubo . 地理学报：英文版 . 2010,第2期

3. Geophysical Data Bearing on Hydrocarbon Traps and Resource Potential of the Galisteo Basin, New Mexico [J] . Richard A. Ashu ,Michael S. Petronis . 地质学期刊（英文） . 2014,第1期

4. 重大地震伤害患者的死亡特征模式及预后预测:2000例汶川地震伤员数据集的计算机模式识别研究 [C] . 曾俊 ,蔡斌 ,彭谨 . 中华医学会急诊医学分会第十五次全国急诊医学学术年会 . 2012

5. 基于DEMETER卫星地震电磁数据处理方法的研究 [A] . 王春红 . 2009