2022
DOI: 10.1016/j.gsf.2022.101451
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Logging evaluation of deep multi-type unconventional gas reservoirs in the Songliao basin, northeast China: Implications from continental scientific drilling

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Cited by 10 publications
(3 citation statements)
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“…The distributions of the natural gamma ray [20] and compensated neutron [21] mean values in the five types of reservoirs showed some differences (see Figure 2). The high-yield layer, gas layer and gas-bearing layer have lower natural gamma ray (26.5-27.8 API), while the dry and water layers have higher natural gamma ray (31.1 and 29.7 API, respectively).…”
Section: Optimization Of Logging Parametersmentioning
confidence: 99%
“…The distributions of the natural gamma ray [20] and compensated neutron [21] mean values in the five types of reservoirs showed some differences (see Figure 2). The high-yield layer, gas layer and gas-bearing layer have lower natural gamma ray (26.5-27.8 API), while the dry and water layers have higher natural gamma ray (31.1 and 29.7 API, respectively).…”
Section: Optimization Of Logging Parametersmentioning
confidence: 99%
“…Reflection acoustic logging is a new well-logging technology, which is concerned researched widely in recent years [1][2][3][4][5][6][7][8][9][10]. This method can be used to identify the geological structure and evaluate the fracturing effect in unconventional oil and gas exploration [11][12][13][14][15][16][17]. The resolution of reflected acoustic logging is near 20 cm, which is better than that of seismic exploration.…”
Section: Introductionmentioning
confidence: 99%
“…The development of conventional oil and gas reservoirs has gradually entered the middle or late period [1][2][3][4]. How to efficiently develop deep reservoirs with abundant reserves attracts the interest of researchers [5][6][7]. The buried depth of the deep reservoir determines that most of its permeability is low, and the process of oil or gas gathering to the bottom of the well will be subject to great flow resistance [8,9].…”
Section: Introductionmentioning
confidence: 99%