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Natural Gas Geoscience ›› 2021, Vol. 32 ›› Issue (12): 1880-1888.doi: 10.11764/j.issn.1672-1926.2021.11.002

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Dominating factors on shale oil horizontal well productivity and development strategies optimization in Qingcheng Oilfield， Ordos Basin

Ting XUE1,2(),Tianjing HUANG1,2,Liangbing CHENG1,2,Shuwei MA1,2(),Jianchao SHI1,2   

  1. 1.National Engineering Laboratory for Exploration and Development of Low Permeability Oil & Gas Fields，Xi’an 710018，China
    2.Exploration and Development Research Institute of PetroChina Changqing Oilfield Company，Xi’an 710018，China
  • Received:2021-05-15 Revised:2021-11-05 Online:2021-12-10 Published:2021-12-27
  • Contact: Shuwei MA E-mail:xt519_cq@petrochina.com.cn;masw_cq@petrochina.com.cn
  • Supported by:
    The China National Science and Technology Major Project(2017ZX05069)

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Abstract:

Previous development practices in Chang 7 Member shale oil reservoir have proved that individual well production in Qingcheng Oilfield is related to several factors in both geology and engineering， such as physical properties of a reservoir， lateral length， fracturing scale etc. However， the most decisive factors among those are not clear. This paper is outlined to study the dominating factors relating to individual well production， based on geological parameters， fracturing construction data， and production data. Productivity influencing factors are quantitatively ordered using gray correlation analysis method and random forest algorithm. Research shows that the most decisive factors affecting individual well production of a horizontal well are porosity， oil saturation， brittleness index， effective lateral length， number of fracturing sections， sand volume pumped into a single fracturing section， and the amount of fracturing fluid pumped underground. Thus， well displacement， lateral length and fracturing parameters are optimized. This study provides a guidance to the development of shale oil reservoir considering low oil prices nowadays.

Key words: Shale oil, Horizontal well, Main controlling factors of productivity, Optimize the technical countermeasures

CLC Number: 

  • TE34

Fig.1

Early production distribution histogram in Qingcheng Oilfield"

Fig.3

Oil layer thickness vs. cumulative oil production of the first year"

Fig.4

Reservoir property vs. cumulative oil production of the first year"

Fig.5

Reservoir oiliness vs. cumulative oil production of the first year"

Fig.6

Relationship between brittleness index and daily oil production"

Fig.7

Effective length of lateral section vs. cumulative oil production of the first year"

Fig.8

Fracturing parameters per hundred meter vs. cumulative oil production of the first year"

Fig.9

Parameter order using grey correlation method"

Fig.10

Parameter order using random forest algorithm"

Table 1

Weight coefficient of each parameter using sweet spot index"

地质参数影响因子均一化系数权重系数
孔隙度0.100 70.275 2ω1
含油饱和度0.097 40.266 2ω2
脆性指数0.078 20.213 7ω3

Fig.11

Dessert index and daily production during initial production period"

Fig.12

Lateral length vs. daily production during initial production period per hundred meters"

Fig.13

Daily production during initial production period per hundred meter vs. number of fracturing section in oil layer per hundred meters"

Fig.14

Fracturing simulation results under the conditions of different number of clusters in same well section"

Fig.15

Fracturing volume of each section with different fluid inlet strength"

Fig.16

Fracture diverting capacity with different sand adding strength"

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