Oil migration through preferential petroleum migration pathway (PPMP) and polycyclic faults: A case study from the Shijiutuo Uplift, Bohai Bay basin, China

Xu, Shang; Hao, Fang; Xu, Cheng; Zou, Huayao; Quan, Yongbin

doi:10.1016/j.marpetgeo.2016.03.025

Cited by 21 publications

(11 citation statements)

References 59 publications

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“…14b). Those pathways could be called PPMPs (Hao et al, 2007;Xu et al, 2016). The petroleum migration pattern in the carrier beds was a steady-state pattern.…”

Section: Petroleum Migration Behaviors In the Sandstone Carrier Bedsmentioning

confidence: 99%

“…Hydrocarbon migration is one of the most important and least understood elements in petroleum systems (Magoon and Dow, 1994;Losh et al, 1999;Aydin, 2000;Fall et al, 2012;Baur and Katz, 2018). From the source rocks to the traps, petroleum often migrates through conduit systems, including faults, carrier beds, and unconformities (Pang et al, 2013;Foschi and Cartwright, 2016;Liu et al, 2016;Xu et al, 2014Xu et al, , 2016Makeen et al, 2016). Faults have an important impact on petroleum migration (Bense and Person, 2006;Karlsen and Skeie, 2006;Faulkner et al, 2010;Zhang et al, 2010;Bense et al, 2013Bense et al, , 2016, because the opening and closing of faults control hydrocarbon migration and accumulation in petroliferous basins (Harding and Tuminas, 1989;Selley, 1998).…”

Section: Introductionmentioning

confidence: 99%

“…Sandstone carrier beds are the most common conduit systems in petroliferous basins (Hao et al, 2007;Luo X., 2011;Lei et al, 2014;Xu et al, 2014Xu et al, , 2016Luo et al, 2015). Under the hydrostatic condition, buoyancy is the driving force for petroleum migration through carrier beds (Hubbert, 1953;Schowalter, 1979;England et al, 1987;England, 1994;Hindle, 1997;Bekele et al, 1999Bekele et al, , 2002Xu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Petroleum Migration Characteristics in the Northeastern Part of the Baiyun Depression, Pearl River Mouth Basin, South China Sea

Zeng

Wang

Guo³

et al. 2021

Acta Geologica Sinica (Eng)

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This paper investigates the origin and migration characteristics of petroleum in the northeastern part of the Baiyun Depression, Pearl River Mouth Basin (PRMB). The discovered petroleum in the study area is mainly located in the Lower Zhujiang Member (N 1 z 2) and mainly originated from the Enping Formation source rocks in the eastern sag. Active faults (vertical migration) and N 1 z 2 sandstones (lateral migration) acted as the petroleum migration systems. The fault activities in the Dongsha event controlled the episodic petroleum migration. Fractures in the fault zones provided effective conduits, and overpressure was the driving force. The vertical migration could not cross the fault zones laterally. The petroleum injection areas in the carrier beds were the contact zones of petroleum-migration faults and carrier beds. The lateral migration was steady-state migration, and buoyancy was the driving force. The migration pathways in the carrier beds were controlled by the structural morphology. Secondary petroleum migration in the study area could be divided into two parts: vertical migration along the fractures in the fault zones and lateral migration through preferential petroleum migration pathways (PPMPs) in the carrier beds. The petroleum migration behaviors, including migrating direction, driving force, and migration pattern, in the faults and sandstone carrier beds were quite different. This study provides a typical example for comprehending secondary migration processes and has great importance for determining future exploration targets in the deep-water area of the PRMB.

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“…14b). Those pathways could be called PPMPs (Hao et al, 2007;Xu et al, 2016). The petroleum migration pattern in the carrier beds was a steady-state pattern.…”

Section: Petroleum Migration Behaviors In the Sandstone Carrier Bedsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Petroleum Migration Characteristics in the Northeastern Part of the Baiyun Depression, Pearl River Mouth Basin, South China Sea

Zeng

Wang

Guo³

et al. 2021

Acta Geologica Sinica (Eng)

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“…However, the presence of LOFs further complicate the fault block reservoirs and are an important factor controlling the residual oil, and therefore, they are a key element in the detailed description of oil reservoirs in a high watercut stage (Evans & Fischer, ; Jeanne et al, ; Jeanne et al, ). Fault block reservoirs are common across China; higher order faults control the structural trends and occurrences of the fault blocks and thus control the formation and accumulation of oil and gas (Hopkins & Dawers, ; Huang & Liu, ; Huang et al, ; Xu et al, ). The presence of LOFs makes a fault block oilfield more complex and is an important controlling factor of the remaining oil accumulation (Freeman et al, ; Jolley et al, ; Teng et al, ).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Prediction of Lower Order Faults Based on the Finite Element Method: A Case Study of the M35 Fault Block in the Western Hanliu Fault Zone in the Gaoyou Sag, East China

et al. 2018

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Lower order faults (LOFs) are characterized by small-scale, strong concealment and difficult to identify in seismic data, which affects the accuracy of LOF interpretation. Due to the quality of the seismic data in the M35 fault block of the Gaoyou sag, Subei basin, the direction of the LOFs cannot be accurately identified, leading to the unclear relationship between the injection and production wells in the local oil fields and affecting the development of the remaining oil. In this paper, the formation mechanism of LOFs in the M35 fault block is determined from analysis of the fault activity and tectonic evolution, and a finite element geomechanical model is established to simulate the paleostress field during the formation of the LOFs. Based on the relationship between the areal density of LOFs and the stress parameters, the regions of LOF development are predicted by the minimum principal stress, the maximum and minimum principal stress difference (Δσ), normal stress (σ n ), and the strain energy density; the shear stresses are used to predict the dip direction of the LOFs. Through the coordinate system transformation of the principal stress directions, the strikes of the LOFs are quantitatively predicted. Finally, the reliability of the prediction results is verified by the latest structural map of the M35 fault block. The method proposed in this paper can be widely applied to the quantitative prediction of multiple parameters of LOFs in complex fault blocks. 10.1029/2017TC004767Key Points:• Quantitative prediction of lower order faults is based on the finite element method • The regions of LOF development are predicted by the minimum principal stress, stress difference, normal stress, and the strain energy density • The shear stresses are used to predict the dip direction of the LOFs Supporting Information:• Supporting Information S1

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“…In recent years, there have been significant breakthroughs in exploring for secondary oil and gas pools both at home and abroad, for example, the Middle-Upper Devonian (Frasnian) and Triassic petroleum system in the Midwest of the Ghdames Basin, North Africa (Underdown and Redfern 2008), multibillion barrel accumulation of heavy oil discovered in the Prudhoe Bay-Kuparuk area of the Arctic Alaska, North America (Bird and Houseknecht 2011), the Vuktyl oilfield in the Timan-Pechora Basin, Russia (IHS 2009), and the Upper Cretaceous Sarvak reservoir in the Azadengan oil field, southwest Iran (Du et al 2016). In China, there also have been many discoveries, such as the Carboniferous and Triassic hydrocarbon pools in the Northern Tarim Basin (Zhu et al 2013a, b), the Neogene oil and gas pools in the Bohai Bay and Qaidam Basins (Xu et al 2016;Zhang et al 2003;Li et al 2015;Wang et al 2015), the Jurassic natural gas in the Western Sichuan Foreland Basin (Ye et al 2017), the industrial oil flow discovered in the Damoguaihe Formation in the Hailar Basin (Dong 2011), and the beadlike secondary oil and gas pools in the Heidimiao oil layer in the Songliao Basin (Huang and Guo 2014;Han et al 2011).…”

Section: Introductionmentioning

confidence: 99%

A method for evaluating paleo hydrocarbon pools and predicting secondary reservoirs: a case study of the Sangonghe Formation in the Mosuowan area, Junggar Basin

Wei

Tao

2018

Pet. Sci.

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Taking the Jurassic Sangonghe Formation in the Mosuowan-Mobei area of the Junggar Basin as an example, this paper provides a method that evaluates paleo hydrocarbon pools and predicts secondary reservoirs. Through Quantitative Grain Fluorescence (QGF) experiments, well-tie seismic correlation, and paleo structure analysis, the scale and distribution of paleo hydrocarbon pools in the study area are outlined. Combining current structural features and fault characteristics, the re-migration pathways of paleo oil and gas are depicted. Based on barrier conditions on the oil re-migration pathways and current reservoir distribution, we recognize three types of secondary reservoirs. By analyzing structural evolution and sand body-fault distribution, the major control factors of secondary reservoirs are specified and, consequently, favorable zones for secondary reservoirs are predicted. The results are mainly as follows. (1) In the primary accumulation period in the Cretaceous, paleo hydrocarbon pools were formed in the Sangonghe Formation of the Mosuowan uplift and their size and distribution were extensive and the exploration potential for secondary reservoirs should not be ignored. Besides, paleo reservoirs were also formed in the Mobei uplift, but just small scale. (2) In the adjustment period in the Neogene, traps were reshaped or destroyed and so were the paleo reservoirs, resulting in oil release. The released oil migrated linearly northward along the structural highs of the Mobei uplift and the Qianshao low-relief uplift and then formed secondary reservoirs when it met new traps. In this process, a structural ridge cooperated with sand bodies and faults, applying unobstructed pathways for oil and gas re-migration. (3) The secondary hydrocarbon pools are classified into three types: low-relief anticlinal type, lithologic pinch-out type and fault block type. The distribution of the first type is controlled by a residual low uplift in the north flank of the paleo-anticline. The second type is distributed in the lithologic pinch-out zones on the periphery of the inherited paleo uplift. The third type is controlled by fault zones of which the strikes are perpendicular to the hydrocarbon re-migration pathways. (4) Four favorable zones for secondary reservoirs are predicted: the low-relief structural zone of the north flank of the Mosuowan paleo-anticline, the fault barrier zone on the western flank of the Mobei uplift, the Qianshao low-relief uplift and the north area of the Mobei uplift that parallels the fault zone. The study above effectively supports the exploration of the Qianshao low-relief uplift, with commercial oil discovered in the Qianshao1 well. Besides, the research process in this paper can also be applied to other basins to explore for secondary reservoirs.

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Oil migration through preferential petroleum migration pathway (PPMP) and polycyclic faults: A case study from the Shijiutuo Uplift, Bohai Bay basin, China

Cited by 21 publications

References 59 publications

Petroleum Migration Characteristics in the Northeastern Part of the Baiyun Depression, Pearl River Mouth Basin, South China Sea

Petroleum Migration Characteristics in the Northeastern Part of the Baiyun Depression, Pearl River Mouth Basin, South China Sea

Quantitative Prediction of Lower Order Faults Based on the Finite Element Method: A Case Study of the M35 Fault Block in the Western Hanliu Fault Zone in the Gaoyou Sag, East China

A method for evaluating paleo hydrocarbon pools and predicting secondary reservoirs: a case study of the Sangonghe Formation in the Mosuowan area, Junggar Basin

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