Hydrocarbon source rock is the foundation of oil and gas exploration research. Proper evaluation of source rocks and divided favorable exploration area play an important role in decision making for further exploration. At present, geochemical methods (Through analysis of the core samples it can provide accurate geochemical indicators about hydrocarbon source rock) still the main means for hydrocarbon source rock studies, which is hard to obtain a continuous data on a single well owing to the limited samples and experimental fees. In addition, source rocks have a non-mean, and by making the data from geochemical analysis simply mean treatment will lead to the information from high-quality source rocks to be suppressed, which leads to the exploration precision is difficult to meet. Logging information has a high vertical resolution and the data continuously, accurately the logging characteristics of hydrocarbon source rocks in coal measures all which provides a new approach in the correct evaluation for hydrocarbon source rocks. Coal source rock significantly different, according to the abundance of organic matter can be divided into shale, carbonaceous shale and coal, they have their own characteristics in response on the logs. Making full investigation for the existing research results which created by domestic and foreign scholars. And based on response characteristics of coal source rocks in the natural gamma, resistivity, acoustic time, neutron, density logging information, to carry out a qualitative identification and quantitative evaluation for hydrocarbon source rocks. Quantitative evaluation and qualitative identification methods of hydrocarbon source rocks in coal measures were introduced, such as crossplots method, ΔlogR method and the like. Received the data of tatal oxygen carbon by using the methods above, and achieved good results, which provide reference for comprehensive evaluation of hydrocarbon source rocks.
王攀, 梁明星. 煤系烃源岩测井响应特征及有机碳评价方法[J]. 物探与化探, 2016, 40(1): 197-202.
WANG Pan, LIANG Ming-Xing. The logging characteristics and evaluation methods of hydrocarbon source rock in coal measures. Geophysical and Geochemical Exploration, 2016, 40(1): 197-202.
[1] 刘俊榜,刘震,景晓凤,等.利用测井曲线反演计算烃源岩有机碳质量分数——以准噶尔盆地东部为例[J].石油天然气学报, 2013, 35(4):28-32, 5.[2] 袁东山,王国斌,汤泽宁,等.测井资料评价烃源岩方法及其进展[J].石油天然气学报, 2009, 31(4):192-194.[3] 高阳.利用测井信息评价盐湖相烃源岩[J].沉积学报, 2013, 31(4):730-737.[4] 雷涛,周文,杨艺,等.塔里木盆地塔中地区海相烃源岩测井评价方法[J].岩性油气藏, 2010, 22(4):89-94, 99.[5] 张立鹏,边瑞雪,杨双彦,等.用测井资料识别烃源岩[J].测井技术, 2001, 25(2):146-152, 161.[6] 于翔涛.测井技术在烃源岩评价中的应用[J].长江大学学报:自然科技版, 2009, 6(2):198-200.[7] 金涛,高日胜,高彩霞,等.从烃源岩测井评价结果看冀中坳陷饶阳凹陷勘探前景[J].天然气地球科学, 2010, 21(3):406-412.[8] 杨涛涛,范国章,吕福亮,等.烃源岩测井响应特征及识别评价方法[J].天然气地球科学, 2013, 24(2):414-422.[9] Schmoker J W, Heater T C. Organic carbon in Bakken formation, united states portion of Williston basin[J]. AAPG bulletin, 1983, 67:3165-3174.[10] Meyer B L, Nederlof M H. Identification of source rocks on wire line logs by density/resistivity and sonic transit time/resistivity cross-plots[J]. AAPG, 1984, 68(2):121-129.[11] Passey Q R, Creaney S, Kulla J B, et al. A practical model for organic richness from porosity and resistivity logs[J]. AAPG, 1990, 74(12):1777-1794.[12] Bakhtiar H A, Telmadarreie A,Shaye M.Estimating total organic carbon content and source rock evaluation, applying ΔlogR and neural network methods:ahwaz and marun oilfields, SW of Iran[J]. Petroleum Science and Technology, 2011, 29:1691-1704.[13] Kamalia M R, Mirshady A A. Total organic carbon content determined from well logs using ΔlogR and Neuro Fuzzy techniques[J]. Journal of Petroleum Science and Engineering, 2004, 45:141-148.[14] 王贵文,朱振宇,朱广宇.烃源岩测井识别与评价方法研究[J].石油勘探与开发, 2002, 29(4):50-52.[15] 杨少春,王娜,李明瑞,等.鄂尔多斯盆地崇信地区三叠系延长组烃源岩测井评价[J].天然气地球科学, 2013, 24(3):470-476.[16] 王宗礼,李君,罗强,等.利用测井资料精细评价冀中坳陷廊固凹陷烃源岩[J].天然气地球科学, 2012, 23(3):430-437.
