4 731 Table TOC > 2% Log characteristics of different types of organic rich source rocks in Well FS2 /m TOC /% GR /API AC / μs /ft CNL /% DEN /

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1 ACTA SEDIMENTOLOGICA SINICA Vol. 31 No. 4 Aug TOC AC LogRt DEN TOC DEN LogRt ΔGR TOC S 1 + S 2 TOC TOC S 1 + S 2 TOC TOC swap124@ 163. com TE A 0 TOC Ω m R Ω m Δt μs /ft K Δt 1 TOC = ΔlogR LOM + ΔTOC 2 2 TOC % LOM ΔTOC ΔlogR ΔlogR Schmoker Appalachian 4 Meyer Nederlof Muller EXXON /ESSO ΔlogR 7 ΔlogR 1 2 ΔlogR = log R /R + K Δt - Δt 1 YKK ΔlogR R

2 4 731 Table TOC > 2% Log characteristics of different types of organic rich source rocks in Well FS2 /m TOC /% GR /API AC / μs /ft CNL /% DEN / g /cm 3 LogLLD /Ω m ΔGR ΔGR 0. 9 ΔGR 0. 7 ~ 0. 9 ΔGR ΔGR TOC AC TOC AC 70 μs /ft 2. 4 ~ 2. 6 g /cm 3 AC μs /ft 2. 3 g /cm 3 50% 67 μs /ft 2. 1 g /cm 3 0 TOC 1 TOC 1 TOC LogRt LogRt TOC LogRt ΔGR > 0. 7 R DEN TOC AC ΔGR LogRt TOC ΔGR 0. 7 TOC TOC 2 TOC ΔGR TOC ΔGR

3 Fig Log characteristics of different types of rocks in salt lake of Well FS1 Fig. 2 2 TOC ΔGR AC DEN LogRt Relationships between TOC and ΔGR AC DEN LogRt in different rocks

4 TOC 6 ~ 8 TOC TOC ΔGR AC LogRt DEN 23 TOC DEN LogRt TOC = AC LogRt /DEN ΔGR > ΔGR TOC 0. 9 R 2 = TOC TOC TOC = AC LogRt /DEN 0. 7 < ΔGR < 0. 9 R 2 = a 1 b 1 TOC = 2. 59ΔGR DEN AC ΔGR < TOC = a 1 AC + b 1 logrt + c 1 /DEN ΔGR 0. 7 R 2 = TOC = a 2 AC + b 2 logrt + c 2 /DEN 0. 7 < ΔGR < TOC = a 3 DEN + b 3 logrt + d 3 ΔGR + c 3 ΔGR TOC % Rt Ω m AC μs /ft DEN g /cm 3 ΔGR GR - GR min / GR max - GR min TOC S 1 + S 2 TOC 3 TOC TOC S 1 + S 2 Fig. 3 Different between actual measurement and forecast TOC S 1 + S 2 TOC 19 Fig. 4 Relationships between S 1 + S 2 and TOC 25 m S 1 + S 2 = TOC R 2 = S 1 + S 2 mg /g TOC m 2 5

5 Table 2 2 TOC S 1 + S 2 Actual measurement TOC S 1 S 2 and forecast TOC of lower member of Es 4 in Dongying Depression /m TOC /% TOC /% S1 / mg /g S2 / mg /g T max / S 1 + S 2 / mg /g TOC > 0. 5% ~ 8 TOC 350 m ΔGR 125 ~ DEN AC 100 m 4 LogRt TOC ΔGR TOC DEN 2 ~ 6 TOC AC LogRt 1. 8% 1 TOC 1. 6% TOC TOC S 1 + S 2

6 4 735 Fig TOC Comparison between actual measurement and calculated TOC in Well FS2 Fig. 6 6 TOC Effective source rocks accumulated thickness left and TOC mean right contour map

7 TOC S 1 + S 2 J References 1. J Hu Huiting J Yue Bingshun Huang Hua Chen Bin et al. A method for logging source rock evaluation in Dongpu Depression and its application J. Journal of Oil and Gas Technology J Zhu Guangyou Jin Qiang Dai Jinxing et al. Investigation on the salt lake source rocks for Middle Sha4 section of Dongying Depression J. Geological Journal of China Universities J Tan Tingdong. Identification of Kuchersits from well logs J. Well Log Technology Schmoker J W. Determination of organic-matter content of Appalachian Devonian shales from gamma ray logs J. AAPG Bulletin Meyer B L Nederlof M H. Identification of source rocks on wireline logs by density / resistivity and sonic transit time / resistivity crossplots J. AAPG Bulletin Mann U P Muller J. Source rock evaluation by welllog analysis lower Toarcian Hils Synline Advances in Organic Geochemistry J. Organic Geochemistry Passey Q R. A practical model for organic richness from porosity and resistivity logs J. AAPG Bulletin J Zhang Zhiwei Zhang Hailong. A method of source rock evaluation by well-logging and its application result J. Petroleum Exploration and Development TOC Sr J Zhu Guangyou Jin Qiang Zhang Shuichang et al. Positive correlation between contents of TOC and Sr in source rocks of the Palaeogene Shahejie Formation in Dongying Sag eastern China J. Earth Science Fron- 9. tiers J Xu Xiaohong Huang Haiping Lu Songnian. A quantitative relationship between well logging information and organic carbon content J. Journal of Jianghan Petroleum Institute J. Ocean University of China Tang Lina. Well logging evaluation of source rock and its application in Bohai Bay oil exploitation J. Science & Technology Review source rocks in the Shahejie Formation of the Jiyang Depression J. J Shi Qiang Li Jian Li Guoping et al. Evaluating source rock indexes by log data J. Natural Gas Industry Zhu Guangnyou Jin Qiang Zhang Linye. Linye. Using log information to analyze the geochemical characteristic of source rocks in Jiyang Depression J. Well Log Technology Lu Shuangfang Liu Chao et al. Models for calculating organic carbon content from logging information Comparison and analysis J. Acta Sedimentologica Sinica J Lu Qiaohuan Zhang Jinyan Li Shaoxia. Application of log data to oil source rock evaluation J. Well Log Technology J Qu Yansheng Zhong Ningning Liu Yan et al. Using logging methods to calculate organic matter abundance of source rocks and its influencing factors J. Lithologic Reservoirs J Yuan Jing Qin Ke. Characteristics of evaporate generated in deep water of Sha4 Member in Dongying Sag J. Journal of the University of Petroleum China Edition of Natural Science J Zhang Zhihuan Yang Fan Li Dongming et al. Biomarker Assemblage Characteristics of Source Rocks and Associated Crude Oils in Saline Lake Facies of Cenozoic in China J. Acta Sedimentologica Sinica D Ding Fei. Characteristics of the Soluble Organic Matter and Sedimentary Organic Facies of Deep Source Rocks in the Dongying Depression D. Qingdao Shandong 20. J Wang Yongshi Jin Qiang Zhu Guangyou et al. Characterization of the effective Petroleum Exploration and Development

8 4 737 Salt Lake Source Rock Evaluation by Logging Data GAO Yang Geoscience Research Institute of Shengli Oilfield SINOPEC Dongying Shandong Abstract Salt lake source rock rich in gypsum and salt these compounds makes the logging response of source rock change significantly. Based on the experimental data the relationships between TOC and log information of gypsum salt -bearing mudstone gypsum salt mudstone and mudstone have been studied. Research shows that TOC of mudstone and gypsum-bearing mudstone is proportional to AC and LogRt inversely proportional to DEN. TOC of gypsum salt mudstone is proportional to DEN and inversely proportional to LogRt. Based on the results of this research the evaluation method of salt lake source rocks by logging information has been established. First distinguish the types of source rocks by ΔGR then TOC evaluation model of different kinds of lithology is established on the basis of experiment data. finally the correlation between the experimentally measured S 1 + S 2 and TOC has been studied so that the TOC and hydrocarbon potential of source rocks can be calculated by log data. The characteristics and distribution of lower submember of 4 th member of Shahejie formation source rock are studied in this way. The study found that a high degree of agreement between the predicted TOC and experimented TOC which proves the method has some promotional value. Key words salt lake source rocks evaluation of source rock by logging TOC geochemical parameters Dongying Depression 4 th member of Shahejie Formation.

4 C C 1 2 S C C > m 6 C C Fig. 1 Geological sketch map of block-c in Yitong Basin

4 C C 1 2 S C C > m 6 C C Fig. 1 Geological sketch map of block-c in Yitong Basin 35 4 2016 12 GLOBAL GEOLOGY Vol. 35 No. 4 Dec. 2016 1004 5589 2016 04 1084 11 C 130061 70% 50% 38% P618. 130. 2 A doi 10. 3969 /j. issn. 1004-5589. 2016. 04. 019 Analysis of oil saturation and oil-bearing