# Geochemical Characteristics and Oil Source Correlation of Minfeng Area, Dongying Depression, China

Authors: Dongmei Bo; Lin Jiang; Wen Zhao; Youlu Jiang; Hua Liu; Haowen Ou
Journal: Geofluids
 (2021)

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## Abstract

The identification of the oil-source correlation plays a significant role in petroleum exploration and development. In this study, we identify the oil-source correlation by a hierarchical cluster analysis method combined with traditional methods. The results shed light on the oil-source correlation in Minfeng area and revealed the oil migration and accumulation process. The crude oil in different structural belts and different horizons has different geochemical characteristics. According to the four types of crude oil and their planner distribution, it was considered that the crude oil mainly migrates along with favorable sand bodies and unconformity surfaces in the lateral direction and then charged and accumulated in the glutenite of Sha3 and Sha4 members since the area from sag to Yan Jia Oil and the gas field was lacking of oil source faults. Further analysis shows that the traps of fault blocks in Yong’anzhen are formed in the same phase, while the crude oil generated in the early stage is charged and accumulated in the fault block of the near source. Along with increasing of the buried depth of source rocks, the overlying source rocks gradually entered into the hydrocarbon generation phase, when crude oil started to charge in the fault blocks farther away.


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## Body

## 1. Introduction

Identifying the source of discovered oil (also called oil-source correlation) is of vital significance for oil petroleum exploration and development [1]. Therefore, the oil-source correlation is conducted at each confidence level for reservoir exploration and development in all sedimentary basins [2, 3]. Along with the continuous discoveries of oil and gas in the Minfeng area in recent years, the oil-source relationship has attracted researchers’ attention gradually.Although the physical and chemical properties of hydrocarbon from the same set of source rocks change slightly in the process of hydrocarbon migration, they still show certain regularity [4]. Therefore, the establishment of the connection between source rocks and reservoir can effectively guide the exploration and development of oil and gas. Oil source correlation is to clarify the migration path of oil and gas by studying this law [5]. At present, oil source correlation is mainly studied by carbon isotope characteristics and biomarkers.When using carbon isotopes to make oil source correlation, the carbon isotopic values of kerogen or extractable organic matter are mainly compared with those of hydrocarbon [6]. If the difference between the two results is small, it indicates that they are correlated. Since biomarkers are basically not affected by hydrocarbon secondary processes, they can provide more information about the origin of source rocks, sedimentary environment, and thermal maturity and play an important role in oil-source correlation. The n-alkane components can reflect the type of organic matter, the nature of sedimentary environment, and the degree of thermal evolution. Previous studies on saturated hydrocarbon chromatogram showed that different peak values of carbon number could be used to determine the origin of hydrocarbon. The low-carbon number group was mainly the combination of low aquatic organisms, while the later peak high-carbon number group was mainly the product of the biochemical interaction between aquatic and terrestrial plants. In isoprenoids, the Pr/Ph ratio is usually used to characterize the sedimentary environment. Generally, when Pr/Ph is greater than 3, it indicates the oxidation environment and organic matter comes from terrestrial higher plants. When Pr/Ph is less than 0.8, it indicates the reduction environment and the Pr/Ph ratio of marine crude oil is usually small. Steranes are mainly derived from phytosterols in plankton, among which the distribution of C27-C28-C29 sterol homologs can be used to indicate different sedimentary environments and are widely used in oil-source correlation.There are many methods during the treatment process of geochemical data in oil-source correlation, such as the direct inspection of chromatograms [7], the homologous series distribution pattern [8], 2D/3D ternary plots, or cross-plots of biomarkers ratio [9]. The above standard methods are widely adopted in the oil-source correlation process. However, these methods also have disadvantages. Although the characters of large numbers of samples can be described with the cross/ternary plot method, it has limitations when working with multiple parameters [10]. Multiple biomarkers can be well considered with the methods of chromatograms or homologous series distribution patterns. Since only a few samples can be tested, the geochemical characteristics of the oil system cannot be well considered, which will improve the uncertainties in oil-source correlation and cannot meet the accuracy needed in oil-source correlation [11, 12]. To overcome the above limitations, researchers adopt multivariate statistical analysis methods in the oil-source correlation, which can process multiple geochemical parameters and large numbers of samples simultaneously [13, 14]. Multivariate statistical methods have become the focus in the oil-source correlation process [15, 16]. As a typical multivariate statistical method, hierarchical cluster analysis (HCA) (also called hierarchical cluster) is considered to be a helpful method in oil-source correlation [17, 18]. It is an algorithm that groups similar objects into groups called clusters. The endpoint is a set of clusters, where each cluster is distinct from the other cluster and the items within each cluster are broadly similar to each other. In this work, to investigate the oil-source correlation directly and comprehensively, HCA combined with standard treatment methods (fingerprinting comparison, sterane and terpane fingerprint comparison, and scatter diagram method) are adopted.The rest of this paper is organized as follows. In Section2, the geological background of the Minfeng area will be introduced. The geochemical characteristics of crude oil from 25 samples are tested; four crude oil types are divided in Section 3. In Section 4, we use common treatments combined with HAC to investigate the oil-source correlation. The oil-source relationship is well correlated through the systematic collection and analysis of crude oil and oil sand samples, and the hydrocarbon migration and accumulation process are revealed in the Minfeng area.


## 2. Geological Background

Minfeng area is located in the northeast of the central uplift of Dongying Depression in the Bohai Bay Basin, China, with about 460 km2. It is bordering on Chenjiazhuang uplift to the north, central uplift belt to the south, Qingtouzi uplift to the east, and Shengtuo Oilfield to the west (Figure 1). During the deep rift period, under the control of paleoclimate and water body variation, three sets of effective source rock measures with different lithological combinations and stratigraphic development features are formed in Mingfeng subsag (upper Sha4 submember, lower Sha3 submember, and middle Sha3 submember) [19]. The primary production zone of the Yonganzhen oil and gas field is the glutenite reservoirs of Paleogene Sha2 member (Es2) and upper Sha4 submemer (Es4s), while the significant production zone of the Yanjia oil and gas field is the glutenite reservoir of Sha3 member (Es3) and Sha4 member (Es4).Figure 1
Map of the main sedimentary basins of China and hydrocarbon distribution in Minfeng area, Dongying Depression. On the upper map, the yellow is the sedimentary basin. In the lower map, the grey is the subsag; red represents the oil-bearing area and yellow represents the gas-bearing area.


## 3. Geochemical Characteristics

The crude oil’s biomarker characteristics in different oil and gas fields in the study area are different. According to the gas chromatographic characteristics and steroid terpane characteristics of the saturated hydrocarbon in the samples, the crude oil of the study area could be divided into four types (as shown in Table1.).(1)
Type A is featured by smooth distribution curves of n-alkanes when the bimodal OEP value is generally less than 1.1, which means that there is no distinct odd-even predominance; the∑C21−/∑C22+ value is more significant than 0.7, C21+C22/C28+C29 is greater than 1.3, and the Pr/Ph ratio is larger than 0.5; the gammacerane index is greater than 0.2; the C27 sterane content is low, αααRC27/C27+C28+C29 is generally less than 0.3, and αββS/αααR is usually less than 0.3, while ααα20S/20R+20S of C29 sterane is greater than 0.4, indicating a high thermal evolution degree. The typical crude oil of type A is that in upper Sha4 submember of Well Yong 921-X19 in the Yanjia oil and gas field, which mainly distributes in the glutenite interval of Sha3 and Sha4 members in the Yanjia oil and gas field as well as the sandstone interval of Sha2 member in Yong3 Block of the Yonganzhen oil and gas field(2)
Type B shows an obvious bimodal postpeak in the n-alkane distribution curve, where odd number carbon is taken predominance and CPI is greater than 1.1; the∑C21−/∑C22+ value is about 0.5, the C21+C22/C28+C29 value is about 0.9, and the Pr/Ph ratio is generally less than 0.5; the gammacerane content is high and the gammacerane index is greater than 0.2, the Ts/Ts+Tm value is less than 0.4; αααRC27/C27+C28+C29 had a value of 0.3–0.4, C29ααα20S/20R+20S has a value of 0.37–0.48, and αββSC27/αααRC27 had a value of 0.3 to 0.5. Type B’s typical crude oil is that of Sha2 member of well Ce77 in Yong3 Blocks, which mainly distributes in the Yong2, Yong3, Yong12, and Yong66 Blocks in Yonganzhen area(3)
Type C is characterized by the typical bimodal prepeak type of the n-alkane distribution curve with the carbon number of C17 in the main peak, OEP and CPI values are generally less than 1.1, the C21+C22/C28+C29 value is generally greater than 1.3, ∑C21−/∑C22+ is greater than 1.3, and the Pr/Ph ratio is less than 0.5. The gammacerane content is high and the gammacerane index is greater than 0.3, the Ts/Ts+Tm value is less than 0.35; the αααRC27/C27+C28+C29 value is greater than 0.38, the C29ααα20S/20R+20S value is less than 0.35, the C29ββ/ββ+αα value is less than 0.32, and the αββS/αααRC27 value is less than 0.3. The typical crude oil of type C is mainly produced from Sha3 member of Yong63-13 Block, which distributes in the reservoirs of middle Sha3 submember in Yong63 Block and Yong2 Block of the Yonganzhen oil field and Minfeng subsag(4)
Type D shows a single peak in the n-alkane distribution curve. The OEP is greater than 1.1, the∑C21−/∑C22+ value is around 0.5, and the Pr/Ph ratio is generally less than 0.5. The gammacerane content is high and the gammacerane index is between 0.1 and 0.3; Ts/Ts+Tm has a value of 0.26–0.40; αααRC27/C27+C28+C29 has a value of 0.3 to 0.4, C29ααα20S/20R+20S has a value of 0.38–0.5, C29ββ/ββ+αα has a value of 0.35 to 0.42, and αββSC27/αααRC27 has a value of 0.4 to 0.5. This kind is produced from well 112 in middle Sha3 submember, which mainly distributes in the Minfeng SagTable 1
Crude oil geochemical characteristics of four types.
TypeABCDOEP<1.1>1.1<1.1>1.1∑C21−/∑C22+>0.70.5>1.30.5C21+C22/C28+C29>1.30.9>1.30.9Pr/Ph>0.5<0.5<0.5<0.5Gammacerane index>0.2>0.2>0.30.1–0.3αααRC27/C27+C28+C29<0.30.3–0.4>0.380.3–0.4ααα20S/20R+20S of C29>0.40.37–0.48<0.350.38–0.5Ts/Ts+Tm<0.35<0.4<0.350.26–0.4αββSC27/αααRC27<0.30.3–0.5<0.30.4–0.5C29ββ/ββ+αα<0.320.35–0.42<0.320.35–0.42


## 4. Oil-Source Correlation

In this section, we will investigate the oil-source correlation with the HCA method combined with standard procedures. The traditional oil-source correlation involves various methods, such as the fingerprinting method, parameter comparison method, scatter diagram method, carbon isotope distribution curve method, and other conventional methods [20, 21]. Since a single method often has limitations and multiple solutions, HCA will be applied to verify further the oil-source relationship in this paper based on the conventional methods.


### 4.1. Fingerprinting Comparison of Carbon Number Distribution in n-Alkanes

The composition and distribution characteristics of n-alkanes are affected by multiple factors such as parent material types and organic matter evolution degree, which can be used to identify oil-source relations. The fingerprint contains 25 crude oil samples and 13 source rock samples, including the shape of the n-alkane distribution curve, odd number carbon advantages, and the degree of curve smoothness. Results indicate that the crude oil produced in the Yanjia oil and gas filed, Yong2, Yong3, Yong12, and Yong63 Blocks of Yonganzhen has the features of the upper Sha4 type, while the crude oil produced in Yong66 Block has the characteristics of the combined type of middle Sha3 and lower Sha3; the crude oil produced in Minfeng Sag has the attributes of the lower Sha3 type (Figure2).Figure 2
Comparison diagram of carbon number distributions in some crude oil and hydrocarbon source rocks in the study area of n-alkanes.
(a)(b)(c)(d)(e)(f)


### 4.2. Sterane and Terpane Fingerprint Comparison

Steranes and terpane are two kinds of essential biomarker compounds, recording shreds of evidence of evolution from the biological organic matter to sedimentary organic matter, which can reflect the depositional environment of source rocks and organic matter input [22]. Although the crude oil is generated in the same set of source rock beds, after secondary migration and accumulation, their chemical compositions will change significantly, since a series of geochemical changes would occur due to the changes of geological-geochemical conditions, such as the biodegradation and hydrolysis of crude oil in the reservoir, thermal alteration, and fluid-rock interaction and fractionation during the process of oil and gas migration [23]. However, part of the sterane and terpane biomarkers in the crude oil will represent a relatively stable distribution because biodegradation of a light-medium degree, migration effect, and maturity have no apparent impact on them [24].According to the characteristics of sterane and terpane fingerprints, the C27-C28-C29 sterane of source rock and crude oil in the study area distributed as a “V” shape, among which the source rocks of upper Sha4 and lower Sha3 submember have a relatively high content of C29 sterane and high gammacerane index. In contrast, the source rocks of middle Sha3 submember have a relatively high content of C27 sterane and low gammacerane index (Figure 3). Correlation results showed that the crude oil of the Yanjia oil and gas field is the upper Sha4 type; the crude oil of Minfeng Sag is the lower Sha3 type; the crude oil of the Yonganzhen oil field is mixed with various types, which is a combined type of upper Sha4 and lower Sha3 in Yong2, Yong3, Yong12, and Yong66 fault blocks; the crude oil of Yong63 Block is the middle Sha3 type, but its gammacerane content is high in terpane. Therefore, it also showed the characteristics of the upper Sha4 type (Figure 4), which needed to be further confirmed combining with maturity indicators.Figure 3
Sterane and terpane fingerprint comparison diagram of the source rocks and crude oil in the study area. (a–d) Are diagrams for crude oil and (e–g) are diagrams for source rock.
(a)(b)(c)(d)(e)(f)(g)Figure 4
Correlation map betweenαααR sterane C28+C29/C27 and C29steraneββ/ββ+αα.


### 4.3. Scatter Diagram Method

The parameters used for the scatter diagram methodology this time are parent source and maturity, among which the parent source parameter is the C29 sterane isomerization parameter (includes two types: epimerism and ring isomerism), and the parent source parameter is C28+C29/C27 of normal sterane αααR biological configuration.The scatter plot (Figures5 and 4) reveals that three types of crude oil and source rocks with a different parent material and maturity exist in the study area, distributed in three point groups, which indicates the affinities of oil sources intuitively: the first is the sample points of the crude oil of the Yanjia oil and gas field as well as the source rock of lower Sha4 submember; the second is the sample points of the source rocks from the lower Sha3 submember and part upper Sha4 submember as well as the crude oil from Yong3 Block (upthrown wall), Yong66 Block, Yong3 Block (7–9 sand groups), Yong 51 Block, and part of Yong 12 Block of the Yonganzhen oil field; the third is the sample points of the crude oil from Yong63 Block, part of Yong2 Block and Yong12 Block, Minfeng Sag, and the source rock of middle Sha3 submember.Figure 5
Correlation map betweenαααR sterane C28+C29/C27 and C29 sterane ααα20S/20R+20S.


### 4.4. Clustering Method

To avoid multiple solutions, cluster analysis is further adopted with mathematical statistics for the 24 crude oil samples and 14 source rock samples of the study area using 17 geochemical parameters. The clustering method is the correlation coefficient group-averaging method, whose parameters are the gammacerane index,Ts/Ts+Tm, gammacerane content, C29 sterane ααα20S/20R+20S, C29 sterane ββ/ββ+αα, C27 sterane αββS/αααR, C27 steranes αααR, C28 steranes αααR, αααRC27+C28+C29 sterane, αααRC27/C27+C28+C29 steranes, αααRC29/C27+C28+C29 steranes, OEP, CPI, ∑C21−/∑C22+, pristane/phytane, and C17/∑C7+.The clustering hierarchical diagram (Figure6) indicates that the samples of source rocks and crude oil could be divided into three groups: the first group is the crude oil of middle Sha3 submember in Minfeng Sag, the crude oil of Sha2 Member no.3 and no.5 sand groups in Yong3 Block, the crude oil of Yong66 Block, the crude oil of Yong12 Block, and the source rocks of lower Sha3 submember and part of middle Sha3 submember, among which the crude oil of middle Sha3 submember and the source rocks of lower Sha3 submember developed in the sag are well correlated with each other whose correlation coefficient reached up to 0.858, while the correlation coefficient between the crude oil of Sha2 member no.3 and no.5 sand groups in Yong3 Block, the crude oil of Yong66 Block, the crude oil of Yong12 Block, and the source rocks of middle Sha3 submember is 0.68. The population correlation coefficient reaches 0.521.Figure 6
Clustering hierarchical diagram by correlation coefficient group averaging method.The second group is the source rock of upper Sha4 member and the crude oil of the Yanjia oil and gas field and the crude oil of Yong3 Block and Yong 51 Block, among which the correlation coefficient between the crude oil of the Yanjia oil and gas field and the crude oil of Yong3 Block and Yong 51 Block reaches 0.989, while the population correlation coefficient reaches 0.521.The third group is the source rock of middle Sha3 submember and the crude oil of middle Sha3 submember in Minfeng Sag and the crude oil of Yong2 and Yong63 Blocks, among which the crude oil in the sag and the source rocks of middle Sha3 submember are highly correlated with each other, whose maximum correlation coefficient is 0.95. In contrast, the crude oil of Yong63 Block and Yong2 Block is poorly associated with each other, whose correlation coefficient is less than 0.317.Combined with the comparison results of the three methods above, the maturity of the oil-source, and provenance, the oil-source relationship was confirmed: the crude oil of Sha2 member (no.7 ~ 10 sand groups) of Yong3 Block, Sha2 member (no.4 sand group) of Yong51 Block, and the Yan Jia oil and gas field is the upper Sha4 type; the crude oil of the middle Sha3 type and lower Sha3 type was confirmed as the self-generation and self-preservation type that is developed in Minfeng Sag. Besides, the crude oil of the lower Sha3 type is developed in middle Sha3 submember; the crude oil of Sha2 member (no. 3 and no. 5 sand groups) of Yong3 Block, Yong66 Block, Yong12 Block, and Yong51 Block is the combined type of upper Sha4 and lower Sha3; the crude oil of Yong2 Block (no. 3 and no. 5 sand groups) and Yong63 Block is the middle Sha3 type. The results of oil source correlation on the plane show that only the crude oil of upper Sha4 type is developed in the Yanjia oil and gas field; the crude oil of various types is developed in the Yonganzhen oil and gas field, which represents a regular variation from the sag to the Qingtuozi uplift; the crude oil is the upper Sha4 type in the area near the sag, combined type of upper Sha4 and lower Sha3 eastward, and middle Sha3 type far away (Figure7). It is considered that the traps of the fault blocks in Yonganzhen were formed in the same phase, while the crude oil generated in the early phase charged and accumulated in the fault block of the near source. Along with the increasing of the buried depth of source rock, the overlying source rocks gradually entered into the hydrocarbon generation phase, when crude oil started to charge into the fault blocks farther away.Figure 7
Oil source correlation results and hydrocarbon migration direction of the Minfeng Sag, Dongying Depression.


## 4.1. Fingerprinting Comparison of Carbon Number Distribution in n-Alkanes

The composition and distribution characteristics of n-alkanes are affected by multiple factors such as parent material types and organic matter evolution degree, which can be used to identify oil-source relations. The fingerprint contains 25 crude oil samples and 13 source rock samples, including the shape of the n-alkane distribution curve, odd number carbon advantages, and the degree of curve smoothness. Results indicate that the crude oil produced in the Yanjia oil and gas filed, Yong2, Yong3, Yong12, and Yong63 Blocks of Yonganzhen has the features of the upper Sha4 type, while the crude oil produced in Yong66 Block has the characteristics of the combined type of middle Sha3 and lower Sha3; the crude oil produced in Minfeng Sag has the attributes of the lower Sha3 type (Figure2).Figure 2
Comparison diagram of carbon number distributions in some crude oil and hydrocarbon source rocks in the study area of n-alkanes.
(a)(b)(c)(d)(e)(f)


## 4.2. Sterane and Terpane Fingerprint Comparison

Steranes and terpane are two kinds of essential biomarker compounds, recording shreds of evidence of evolution from the biological organic matter to sedimentary organic matter, which can reflect the depositional environment of source rocks and organic matter input [22]. Although the crude oil is generated in the same set of source rock beds, after secondary migration and accumulation, their chemical compositions will change significantly, since a series of geochemical changes would occur due to the changes of geological-geochemical conditions, such as the biodegradation and hydrolysis of crude oil in the reservoir, thermal alteration, and fluid-rock interaction and fractionation during the process of oil and gas migration [23]. However, part of the sterane and terpane biomarkers in the crude oil will represent a relatively stable distribution because biodegradation of a light-medium degree, migration effect, and maturity have no apparent impact on them [24].According to the characteristics of sterane and terpane fingerprints, the C27-C28-C29 sterane of source rock and crude oil in the study area distributed as a “V” shape, among which the source rocks of upper Sha4 and lower Sha3 submember have a relatively high content of C29 sterane and high gammacerane index. In contrast, the source rocks of middle Sha3 submember have a relatively high content of C27 sterane and low gammacerane index (Figure 3). Correlation results showed that the crude oil of the Yanjia oil and gas field is the upper Sha4 type; the crude oil of Minfeng Sag is the lower Sha3 type; the crude oil of the Yonganzhen oil field is mixed with various types, which is a combined type of upper Sha4 and lower Sha3 in Yong2, Yong3, Yong12, and Yong66 fault blocks; the crude oil of Yong63 Block is the middle Sha3 type, but its gammacerane content is high in terpane. Therefore, it also showed the characteristics of the upper Sha4 type (Figure 4), which needed to be further confirmed combining with maturity indicators.Figure 3
Sterane and terpane fingerprint comparison diagram of the source rocks and crude oil in the study area. (a–d) Are diagrams for crude oil and (e–g) are diagrams for source rock.
(a)(b)(c)(d)(e)(f)(g)Figure 4
Correlation map betweenαααR sterane C28+C29/C27 and C29steraneββ/ββ+αα.


## 4.3. Scatter Diagram Method

The parameters used for the scatter diagram methodology this time are parent source and maturity, among which the parent source parameter is the C29 sterane isomerization parameter (includes two types: epimerism and ring isomerism), and the parent source parameter is C28+C29/C27 of normal sterane αααR biological configuration.The scatter plot (Figures5 and 4) reveals that three types of crude oil and source rocks with a different parent material and maturity exist in the study area, distributed in three point groups, which indicates the affinities of oil sources intuitively: the first is the sample points of the crude oil of the Yanjia oil and gas field as well as the source rock of lower Sha4 submember; the second is the sample points of the source rocks from the lower Sha3 submember and part upper Sha4 submember as well as the crude oil from Yong3 Block (upthrown wall), Yong66 Block, Yong3 Block (7–9 sand groups), Yong 51 Block, and part of Yong 12 Block of the Yonganzhen oil field; the third is the sample points of the crude oil from Yong63 Block, part of Yong2 Block and Yong12 Block, Minfeng Sag, and the source rock of middle Sha3 submember.Figure 5
Correlation map betweenαααR sterane C28+C29/C27 and C29 sterane ααα20S/20R+20S.


## 4.4. Clustering Method

To avoid multiple solutions, cluster analysis is further adopted with mathematical statistics for the 24 crude oil samples and 14 source rock samples of the study area using 17 geochemical parameters. The clustering method is the correlation coefficient group-averaging method, whose parameters are the gammacerane index,Ts/Ts+Tm, gammacerane content, C29 sterane ααα20S/20R+20S, C29 sterane ββ/ββ+αα, C27 sterane αββS/αααR, C27 steranes αααR, C28 steranes αααR, αααRC27+C28+C29 sterane, αααRC27/C27+C28+C29 steranes, αααRC29/C27+C28+C29 steranes, OEP, CPI, ∑C21−/∑C22+, pristane/phytane, and C17/∑C7+.The clustering hierarchical diagram (Figure6) indicates that the samples of source rocks and crude oil could be divided into three groups: the first group is the crude oil of middle Sha3 submember in Minfeng Sag, the crude oil of Sha2 Member no.3 and no.5 sand groups in Yong3 Block, the crude oil of Yong66 Block, the crude oil of Yong12 Block, and the source rocks of lower Sha3 submember and part of middle Sha3 submember, among which the crude oil of middle Sha3 submember and the source rocks of lower Sha3 submember developed in the sag are well correlated with each other whose correlation coefficient reached up to 0.858, while the correlation coefficient between the crude oil of Sha2 member no.3 and no.5 sand groups in Yong3 Block, the crude oil of Yong66 Block, the crude oil of Yong12 Block, and the source rocks of middle Sha3 submember is 0.68. The population correlation coefficient reaches 0.521.Figure 6
Clustering hierarchical diagram by correlation coefficient group averaging method.The second group is the source rock of upper Sha4 member and the crude oil of the Yanjia oil and gas field and the crude oil of Yong3 Block and Yong 51 Block, among which the correlation coefficient between the crude oil of the Yanjia oil and gas field and the crude oil of Yong3 Block and Yong 51 Block reaches 0.989, while the population correlation coefficient reaches 0.521.The third group is the source rock of middle Sha3 submember and the crude oil of middle Sha3 submember in Minfeng Sag and the crude oil of Yong2 and Yong63 Blocks, among which the crude oil in the sag and the source rocks of middle Sha3 submember are highly correlated with each other, whose maximum correlation coefficient is 0.95. In contrast, the crude oil of Yong63 Block and Yong2 Block is poorly associated with each other, whose correlation coefficient is less than 0.317.Combined with the comparison results of the three methods above, the maturity of the oil-source, and provenance, the oil-source relationship was confirmed: the crude oil of Sha2 member (no.7 ~ 10 sand groups) of Yong3 Block, Sha2 member (no.4 sand group) of Yong51 Block, and the Yan Jia oil and gas field is the upper Sha4 type; the crude oil of the middle Sha3 type and lower Sha3 type was confirmed as the self-generation and self-preservation type that is developed in Minfeng Sag. Besides, the crude oil of the lower Sha3 type is developed in middle Sha3 submember; the crude oil of Sha2 member (no. 3 and no. 5 sand groups) of Yong3 Block, Yong66 Block, Yong12 Block, and Yong51 Block is the combined type of upper Sha4 and lower Sha3; the crude oil of Yong2 Block (no. 3 and no. 5 sand groups) and Yong63 Block is the middle Sha3 type. The results of oil source correlation on the plane show that only the crude oil of upper Sha4 type is developed in the Yanjia oil and gas field; the crude oil of various types is developed in the Yonganzhen oil and gas field, which represents a regular variation from the sag to the Qingtuozi uplift; the crude oil is the upper Sha4 type in the area near the sag, combined type of upper Sha4 and lower Sha3 eastward, and middle Sha3 type far away (Figure7). It is considered that the traps of the fault blocks in Yonganzhen were formed in the same phase, while the crude oil generated in the early phase charged and accumulated in the fault block of the near source. Along with the increasing of the buried depth of source rock, the overlying source rocks gradually entered into the hydrocarbon generation phase, when crude oil started to charge into the fault blocks farther away.Figure 7
Oil source correlation results and hydrocarbon migration direction of the Minfeng Sag, Dongying Depression.


## 5. Conclusions

(1)
There are four types of crude oil with different biomarkers developed in Minfeng area: type A mainly distributes in Sha2 member of Yong3 Block, Sha2 member of Yong51 Block in the Yong Anzhen oil field and Yan Jia oil and gas field. Type B distributes in Sha2 member of Yong3 Block, Yong66 Block, Yong12 Block, and Yong51 Block of Yong Anzhen gas filed. Type C distributes in middle Sha3 submember of Minfeng Sag and Yong2 Block, and Yong63 Block of the Yong Anzhen oil and gas field. Type D distributes in middle Sha3 submember and lower Sha3 submember of Minfeng Sags(2)
Results shed light on the oil-source correlation: the crude oil of Sha2 member of Yong3 Block, Sha2 member of Yong51 Block, and Yan Jia oil and gas field is the upper Sha4 type; the crude oil of the middle Sha3 type and lower Sha3 type is confirmed as self-generation and self-preservation that is developed in Minfeng Sag. In addition, the crude oil of the lower Sha3 type is developed in middle Sha3 submember; the crude oil of Sha2 member of Yong3 Block, Yong66 Block, Yong12 Block, and Yong51 Block is the combined type of upper Sha4 and lower Sha3; the crude oil of Yong2 Block and Yong63 Block is the middle Sha3 type(3)
The migration and accumulation process is revealed. The crude oil mainly migrated along favorable sand bodies and unconformity surfaces in the lateral direction and then charged and accumulated in the glutenite of Sha3 and Sha4 members since the area from sag to the Yan Jia oil and gas field lacks oil source faults. From Minfeng Sag to Yonganzhen Oilfield and Qing Tuozi uplift, the crude oil represented various types with regular variation, which showed the upper Sha4 type in the fault block of the near source(4)
The traps of the fault block in Yonganzhen were formed in the same phase; the crude oil generated in the early phase charged and accumulated in the fault block of the near source, along with the increasing of the buried depth of source rocks and the overlying source rocks gradually entering into the hydrocarbon generation phase, when the crude oil started to charge into the fault blocks farther away



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