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SASTF prediction method for fault lake basin hydrocarbon source rock in low-exploration new area

A prediction method and technology for source rocks, which are applied in measurement devices, geophysical measurements, seismology for logging records, etc., can solve the problem of inability to effectively predict source rocks, and achieve important application prospects and economic value. , the effect of reducing the risk of oil and gas exploration and improving the success rate of oil and gas exploration

Active Publication Date: 2021-05-28
XI'AN PETROLEUM UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing source rock prediction and evaluation method based on geochemical and drilling logging data, which establishes a quantitative prediction model for source rock TOC based on the measured TOC data of mudstone samples and logging and seismic data, and predicts source rocks. The disadvantages are: it has certain limitations in low-exploration new areas with no or few wells, and cannot realize effective prediction of source rocks

Method used

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  • SASTF prediction method for fault lake basin hydrocarbon source rock in low-exploration new area
  • SASTF prediction method for fault lake basin hydrocarbon source rock in low-exploration new area
  • SASTF prediction method for fault lake basin hydrocarbon source rock in low-exploration new area

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Effect test

Embodiment 1

[0031] Embodiment 1, with reference to figure 1 , new low-exploration area A, a SASTF prediction method for source rocks in faulted lacustrine basins in low-exploration new areas, including the following steps:

[0032] 1) In 6 hydrocarbon-rich sags that have been confirmed by drilling, the total subsidence S m (Total Subsidence): S m1 ,S m2 ,S m3 ,...,S m6 , and find the minimum value S m0 =min{S m1 ,S m2 ,S m3 ... S m6} = 450 as the lower limit of the environmental standard subsidence of a developable deep-semi-deep lake;

[0033] S m = S T +S Th (1)

[0034]

[0035]

[0036] Among them, S m : total settlement, m; S T : Structural settlement, m; S Th : heat settlement, m; ρ m : mantle density, 3.33g / cm 3 ; ρ s : average density of sediment, 2.30g / cm 3 ; ρ w : Lake water density, 1.00g / cm 3 ;H c : thickness of sediment filling corrected by compaction, m; W d : ancient water depth, m; ΔS L : Relative to the current paleo-lake level change, m; β...

Embodiment 2

[0044] Embodiment 2, with reference to figure 1 , new low-exploration area B, a SASTF prediction method for source rocks in faulted lake basins in low-exploration new areas, including the following steps:

[0045] 1) In 5 hydrocarbon-rich sags that have been confirmed by drilling, the total subsidence S m (Total Subsidence): S m1 ,S m2 ,S m3 ,...,S m5 , and find the minimum value S m0 =min{S m1 ,S m2 ,S m3 ... S m5}=480 is used as the lower limit of the environmental standard subsidence of the developable deep-semi-deep lake;

[0046] S m = S T +S Th (1)

[0047]

[0048]

[0049] Among them, S m : total settlement, m; S T : Structural settlement, m; S Th : heat settlement, m; ρ m : mantle density, 3.33g / cm 3 ; ρ s : average density of sediment, 2.30g / cm 3 ; ρ w : Lake water density, 1.00g / cm 3 ;H c : thickness of sediment filling corrected by compaction, m; W d : ancient water depth, m; ΔS L : Relative to the current paleo-lake level change, m;...

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Abstract

A low exploration new area fault lake basin hydrocarbon source rock SASTF prediction method comprises the steps: confirming hydrocarbon-rich depression in well drilling, calculating the depression total settlement amount of each hydrocarbon source rock development layer series, and solving the minimum value as the lower limit of the developable deep lake-semi-deep lake environment total settlement amount; summarizing the seismic facies of the deep lake-semi-deep lake hydrocarbon source rock stratum, and establishing a deep lake-semi-deep lake hydrocarbon source rock seismic facies identification standard; exploring a depression to be confirmed at a low level, calculating the total settlement amount of the depression, and finding potential developable deep lake-semi-deep lake depression; in the potential developable deep lake-semi-deep lake depression, searching for the depression for developing deep lake-semi-deep lake mudstone according to the depression containing space and sediment supply relation; and finally, comprehensively considering the lake basin type, and predicting hydrocarbon source rock spatial distribution in combination with the deep lake-semi-deep lake facies hydrocarbon source rock seismic facies identification standard. The hydrocarbon-rich depression of high-quality hydrocarbon source rock development can be accurately predicted, the oil-gas exploration risk is reduced, the drilling success rate is increased, and the oil-gas exploration cost is reduced.

Description

technical field [0001] The invention relates to the technical field of hydrocarbon source rock prediction, in particular to a SASTF prediction method for source rocks in faulted lake basins in low-exploration new areas. Background technique [0002] Accurate prediction of high-quality source rocks restricts the development of my country's oil and gas exploration industry. Accurate identification and prediction of hydrocarbon-rich subsags can reduce the risk of oil and gas reservoir exploration, improve the success rate of drilling, and reduce the cost of oil and gas reservoir exploration, which is of great significance. [0003] The existing source rock prediction and evaluation method based on geochemical and drilling logging data, which establishes a quantitative prediction model for source rock TOC based on the measured TOC data of mudstone samples and logging and seismic data, and predicts source rocks. The disadvantage of this method is that it has certain limitations i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/50G01V1/30
CPCG01V1/50G01V1/306G01V2210/6169G01V2210/624Y02A10/40
Inventor 李磊龚广传剧永涛张威刘豪
Owner XI'AN PETROLEUM UNIVERSITY
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