Erratum to: The tectonic uplift since the Late Cretaceous and its impact on the preservation of hydrocarbon in southeastern Sichuan Basin, China

Liu, Huaiqing; Tang, Yong; Chen, Kongquan; Tang, Wenjun

doi:10.1007/s13202-016-0311-1

Cited by 5 publications

(3 citation statements)

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“…Researchers have used various models to predict the proven reserves of natural gas. The Poisson model was used to show that the growth trend of proved natural gas reserves has a significant cyclical characteristic [33]. The improved Weng model and Weibull model were also applied, and the potential and exploration status of natural gas resources were analyzed [34].…”

Section: Introductionmentioning

confidence: 99%

Production Forecasting at Natural Gas Wells

Prundurel,

Stan,

Pană

et al. 2024

Processes

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In Romania, natural gas production is concentrated in two large producers, OMV Petrom and Romgaz. However, there are also smaller companies in the natural gas production area. In these companies, the deposits are mostly mature, or new deposits have low production capacity. Thus, the production forecast is very important for the continued existence of these companies. The model is based on the pressure variation in the gas reservoir, and the exponential model with production decline is currently used by gas and oil producers. Following the variation in the production of the gas wells, we found that in many cases, the Gaussian and Hubbert forecast models are more suitable for simulating the production pattern of gas wells. The models used to belong to the category of poorly conditioned models, with little data, usually called gray models. Papers published in this category are based on data collected over a period of time and provide a forecast of the model for the next period. The mathematical method can lead to a very good approximation of the known data, as well as short-term forecasting in the continuation of the time interval, for which we have these data. The neural network method requires more data for the network learning stage. Increasing the number of known variables is conducive to a successful model. Often, we do not have this data, or obtaining it is expensive and uneconomical for short periods of possible exploitation. The network model sometimes captures a fairly local pattern and changing conditions require the model to be remade. The model is not valid for a large category of gas wells. The Hubbert and Gauss models used in the article have a more comprehensive character, including a wide category of gas wells whose behavior as evolutionary stages is similar. The model is adapted according to practical observations by reducing the production growth period; the layout is asymmetric around the production peak; and the production range is reduced. Thus, an attempt is made to replace the exponential model with the Hubbert and Gauss models, which were found to be in good agreement with the production values. These models were completed using the Monte Carlo method and matrix of risk evaluation. A better appreciation of monthly production, which is an important aspect of supply contracts, and cumulative production, which is important for evaluating the utility of the investment, is ensured. In addition, we can determine the risk associated with the realization of production at a certain moment of exploitation, generating a complete picture of the forecast over the entire operating interval. A comparison with production results on a case study confirms the benefits of the forecasting procedure used.

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Section: Introductionmentioning

confidence: 99%

Production Forecasting at Natural Gas Wells

Prundurel,

Stan,

Pană

et al. 2024

Processes

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“…At present, the research study on the natural gas reserves growth trend prediction is relatively extensive. Liu H (2017) used the Poisson model to predict the proven reserves of natural gas in the Sichuan Basin in the next 30 years. The prediction results show that the growth trend of proved natural gas reserves presents a significant cyclical characteristic, with a peak year roughly every 6 years.…”

Section: Introductionsmentioning

confidence: 99%

“…The prediction results show that the growth trend of proved natural gas reserves presents a significant cyclical characteristic, with a peak year roughly every 6 years. The final proved reserves of natural gas in Sichuan Basin will reach about 25,000 × 10 8 m 3 in 2025 (Liu et al 2017). Yang Y (2021) applied the improved Weng's model and Weibull model in the study on natural gas production prediction in Sichuan Basin.…”

Section: Introductionsmentioning

confidence: 99%

Studies on natural gas reserves multi-cycle growth law in Sichuan Basin based on multi-peak identification and peak parameter prediction

Fang

et al. 2021

J Petrol Explor Prod Technol

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Research on predicting the growth trend of natural gas reserves will help provide theoretical guidance for natural gas exploration in Sichuan Basin. The growth trend of natural gas reserves in Sichuan Basin is multi-cycle and complex. The multi-cyclic peak is screened by the original multi-cyclic peak judgment standard. Metabolically modified GM(1,3) gray prediction method is used to predict the multi-cycle model parameters. The multi-cycle Hubbert model and Gauss model are used to predict the growth trend of natural gas reserves. The research results show that: (1) The number of cycles of natural gas reserves curve during 1956–2018 is 13. Natural gas reserves will maintain the trend of rapid growth in the short term. (2) Metabolism modified GM(1,3) gray prediction model can improve the accuracy of model prediction. The prediction accuracy of Hubbert model is higher than that of Gauss model. By 2030, the cumulative proven level of natural gas will reach 52.34%. The Sichuan Basin will reach its peak of proven lifetime reserves in the next few years.

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Characteristics and control factors of tectonic fractures of ultra-deep tight sandstone: Case study of the Lower Cretaceous reservoir in Bozi-Dabei area, Kuqa Depression, Tarim Basin, China

Wang,

et al. 2023

Journal of Natural Gas Geoscience

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Erratum to: The tectonic uplift since the Late Cretaceous and its impact on the preservation of hydrocarbon in southeastern Sichuan Basin, China

Abstract: The original version of this article unfortunately contained mistakes. Some of the affiliations were incorrectly indicated. Also the sequence has been changed. Moreover, throughout the article ''Qiyueshan'' should be spelled as ''Qiyushang''. The original article was corrected.

Cited by 5 publications

References 0 publications

Production Forecasting at Natural Gas Wells

Production Forecasting at Natural Gas Wells

Studies on natural gas reserves multi-cycle growth law in Sichuan Basin based on multi-peak identification and peak parameter prediction

Characteristics and control factors of tectonic fractures of ultra-deep tight sandstone: Case study of the Lower Cretaceous reservoir in Bozi-Dabei area, Kuqa Depression, Tarim Basin, China

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