scholarly journals A detailed view of the injection-induced seismicity in a natural gas reservoir in Zigong, southwestern Sichuan Basin, China

2013 ◽  
Vol 118 (8) ◽  
pp. 4296-4311 ◽  
Author(s):  
Xinglin Lei ◽  
Shengli Ma ◽  
Wenkang Chen ◽  
Chunmei Pang ◽  
Jie Zeng ◽  
...  
Keyword(s):  
Natural Gas ◽  
Induced Seismicity ◽  
Sichuan Basin ◽  
Gas Reservoir

scholarly journals Studies on natural gas production prediction and risk quantification of Sinian gas reservoir in Sichuan Basin

2021 ◽  
Author(s):  
Guo Yu ◽  
Yanru Chen ◽  
Haitao Li ◽  
Linqing Liu ◽  
Chenyu Wang ◽  
...  
Keyword(s):  
Natural Gas ◽  
Sichuan Basin ◽  
Gas Production ◽  
Risk Level ◽  
Gas Reservoir ◽  
Risk Quantification ◽  
Dispersion Degree ◽  
Stable Production ◽  
Evaluation Matrix ◽  
Production Prediction

AbstractThe Sinian gas reservoir in the Sichuan Basin has the potential for natural gas exploration and development. Production prediction and risk quantification are important in planning of natural gas resources. Ultimate recoverable reserves (URRs) of Sinian gas reservoir are estimated. Hubbert and Gauss models are used to predict the growth trend of production in the gas reservoir. Based on the prediction results, the Monte Carlo simulation is used to calculate the probability of production realization. The evaluation matrix of risk level is established by using indices of production realization probability and dispersion degree for assessing the risk level of natural gas production. The results show that: (1) compared to the Hubbert model, the production prediction results of the Gauss model have higher accuracy. The Sinian gas reservoir will reach peak production of $$\left( {140 - 285} \right) \times 10^{8} {\text{m}}^{3} /{\text{a}}$$ 140 - 285 × 10 8 m 3 / a in 2036 and will have stable production from 2032 to 2040. By the end of the stable production stage, the URR exploitation degree is about 60% and (2) the Monte Carlo method can be used to obtain the production realization probability for each year. The risk level evaluation matrix can be established by taking the probability of realization and the dispersion degree as evaluation indices, which can provide the systematization of the risk levels. The study can help to better understand the guiding significance for the natural gas exploration and development.

scholarly journals New understandings and potential of Sinian–Lower Paleozoic natural gas exploration in the central Sichuan paleo-uplift, Sichuan Basin

2021 ◽  
Vol 8 (1) ◽  
pp. 105-113
Author(s):  
Chunchun Xu ◽  
Ping Shen ◽  
Yueming Yang ◽  
Luzi Zhao ◽  
Bing Luo ◽  
...  
Keyword(s):  
Natural Gas ◽  
Sichuan Basin ◽  
Lower Paleozoic

scholarly journals Quantitative study on natural gas production risk of Carboniferous gas reservoir in eastern Sichuan

2021 ◽  
Author(s):  
Guo Yu ◽  
Haitao Li ◽  
Yanru Chen ◽  
Linqing Liu ◽  
Chenyu Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Natural Gas ◽  
Gas Production ◽  
Probability Method ◽  
Gas Reservoir ◽  
Production Risk ◽  
Probability Interval ◽  
Natural Gas Production ◽  
Stable Production

AbstractQuantifying natural gas production risk can help guide natural gas exploration and development in Carboniferous gas reservoirs. In this study, the Monte Carlo probability method is used to obtain the probability distribution and growth curve of each production risk factor and production in a Carboniferous gas reservoir in eastern Sichuan. In addition, the fuzzy comprehensive evaluation method is used to conduct the sensitivity analysis of the risk factors, and the natural gas production and realization probability under different risk factors are obtained. The research results show that: (1) the risk factor–production growth curve and probability distribution are calculated by the Monte Carlo probability method. The average annual production under the stable production stage under different realization probabilities is obtained. The maximum probability range of annual production is $$\left( {43.43 - 126.35} \right) \times 10^{8} {\text{m}}^{3} /{\text{year}}$$ 43.43 - 126.35 × 10 8 m 3 / year , and the probability range is 14.59–92.88%. (2) The risk factor sensitivity analysis is significantly affected by the probability interval. In the entire probability interval, the more sensitive risk factors are the average production of the kilometer-deep well (D) and the production rate in the stable production stage (A). During the exploration and development of natural gas, these two risk factors can be adjusted to increase production.

scholarly journals Relationship between gas reservoir distribution and structural system of upper Triassic Xujiahe Fm in the Sichuan Basin

2019 ◽  
Vol 6 (3) ◽  
pp. 220-235 ◽  
Author(s):  
Shu Liu ◽  
Xingguo Ren ◽  
Shengxian Yao ◽  
Ziping Liu ◽  
Meng Ning ◽  
...  
Keyword(s):  
Sichuan Basin ◽  
Upper Triassic ◽  
Structural System ◽  
Gas Reservoir ◽  
The Sichuan Basin

Origin of natural gas in Jurassic Da'anzhai Member in the western part of central Sichuan Basin, China

2018 ◽  
Vol 167 ◽  
pp. 890-899 ◽  
Author(s):  
Kaiming Su ◽  
Jungang Lu ◽  
Guangwu Zhang ◽  
Shijia Chen ◽  
Yong Li ◽  
...  
Keyword(s):  
Natural Gas ◽  
Sichuan Basin ◽  
Central Sichuan Basin ◽  
Origin Of Natural Gas

scholarly journals Split Sales of Gas

1971 ◽  
Vol 9 (3) ◽  
pp. 496
Author(s):  
Robert C. Muir
Keyword(s):  
Natural Gas ◽  
Gas Reservoir ◽  
Gas Industry ◽  
Natural Gas Industry ◽  
Gas Market

The Natural Gas Industry is highly competitive and once a gas reservoir is discovered the various producers are anxious to enter into Gas Purchase Contracts. The contracts are with different purchasers and on different terms giving rise to split stream deliveries - there would never be any split stream problems if all producers made simultaneous deliveries to one or more purchasers in exactly the same volumes at exactly the same price. This article examines the position of the producers in the gas reservoir in the absence of an agreement and then discusses different contractual methods which the producers may use to resolve the conflict between the Doctrine of Correlative Rights and the Rule of Capture, such as gas market sharing contracts, cash adjustments, gas balancing schemes and deferred production agreements. To further complicate the problems of 'the producer in dealing with split sales of gas, the lessee-producer must keep in mind the interests of the lessor-royalty owner. The article concludes with a consideration of the interest of the royalty owner in the prepayment received by the producer and in the price for which the producer is selling the gas.

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