Natural Gas Geoscience ›› 2019, Vol. 30 ›› Issue (11): 1639-1645.doi: 10.11764/j.issn.1672-1926.2019.04.016

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A novel method to interpret production profiles of fractured horizontal well in low-permeability gas reservoir by inversing DTS data

Hong-wen Luo(),Hai-tao Li,Bei-bei Jiang,Ying Li,Yu Lu   

  1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
  • Received:2018-12-04 Revised:2019-04-23 Online:2019-11-10 Published:2019-12-03

Abstract:

Distributed temperature sensing (DTS) is gradually being used to monitor downhole conditions of fractured horizontal wells. However, it’s still a great technical problem to interpret the production profiles of a fractured horizontal well in low-permeability gas reservoir from DTS data. In this study, based on Levenberg Marquart algorithm, an inversion model has been developed to translate DTS data to production profiles. And an initial assignment method of inversed parameters is proposed. Finally, a comprehensive inversion method to interpret the production profiles of a fractured horizontal well in low-permeability gas reservoir from DTS data has been proposed. It achieves quantitative interpretation of fracture parameters and production profile based on DTS data. Using the developed interpretation approach, the DTS data of a simulated case has been translated. It has been found that the inversed temperature profiles match with the “measured data” well, and the inversed production profiles are basically in agreement with the measured production profiles as well. The inversion results validate the accuracy and feasibility of the newly proposed inversion approach to interpret production profiles. The research results provide a practical and accurate approach to interpret production profiles and diagnosis fracture parameters quantitatively of a fractured horizontal well in low-permeability gas reservoir.

Key words: Interpreting production profiles, DTS, Fractured horizontal well, Levenberg Marquart algorithm, Inversion, Low-permeability gas reservoir

CLC Number: 

  • TE32+1

Fig.1

Inversion procedure of the production profiles of a fractured horizontal well"

Table 1

Basic parameters of the examples"

储层参数气体物性参数(地面)
储层长度/m1 000气体密度/(kg/m30.9
储层宽度/m500气体黏度/cP0.025
储层厚度/m20体积系数/(m3/m30.004
储层顶深/m2 500气体热容/[J/(kg·K)]2 550
孔隙度/%8气体热导率/[J/(m·s·K)]0.000 26
水平渗透率/(×10-3μm2)0.1热膨胀系数/(10-4/ K)10
垂向渗透率/(×10-3μm2)0.01压缩系数/MPa-10.026
地面温度/K293
地温梯度/(K/m)0.02
储层温度/K343
地层压力/MPa30
井筒参数储层岩石热学参数
水平段长度/m650岩石密度/(kg/m3)2 380
井筒直径/m0.22岩石热容/[J/(kg·K)]845
套管外径/m0.14总导热系数/[J/(m·s·K)]3.46
套管内径/m0.12
井壁粗糙度/m0.001 5

套管导热系数/

[J/(m·s·K)]

12

水泥环导热系数/

[J/(m·s·K)]

6.9

Table 2

Fracture parameters of the fractured horizontal well"

裂缝参数裂缝1裂缝2裂缝3裂缝4裂缝5裂缝6
裂缝半长/m180120200100150200
裂缝宽度/m0.0050.0040.0040.0050.0060.004
裂缝高度/m202020202020
裂缝导流能力/(×10-3 μm2·cm)151215182015

Fig.2

Wellbore temperature profile of the simulated example well"

Fig.3

Inflow rate and temperature drop at each fracture location of the simulated example well"

Table 3

Inversion results of the production profiles of the example well"

裂缝1裂缝2裂缝3裂缝4裂缝5裂缝6
测试温度/K341.381 3341.401 4341.385 3341.412 0341.402 3341.394 2
T/K0.036 20.026 50.037 20.016 90.025 00.031 8
反演温度/K341.375 4341.400 4341.389 3341.412 0341.399 3341.395 9
裂缝半长真实值/m180120200100150200
裂缝半长反演值/m180.357 4120.975 6198.462 998.589 3152.528 6200.891 5
裂缝流入量测试值/(×104 m3/d)1.343 30.900 31.508 50.764 41.154 81.555 9
裂缝流入量反演值/(×104 m3/d)1.343 50.901 81.499 50.720 91.206 31.555 1
裂缝流入量初始值/(×104 m3/d)1.509 21.101 51.548 40.703 41.039 51.325 2

Fig.4

Inversion results of the production profiles of the example well"

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