New Calculation Method and Application of Gas Loss From Coring Shale Gas Well

2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Wuguang Li ◽  
Zhang Jian ◽  
Xiaokai Chen ◽  
Hao Chen
Keyword(s):  
Shale Gas ◽  
New Method ◽  
Gas Content ◽  
Gas Well ◽  
Measuring Device ◽  
Gas Dispersion ◽  
Well Production ◽  
Single Well ◽  
Shale Reservoir ◽  
Gas Loss

Abstract Gas content is one of the most important parameters of shale reservoir evaluation and productivity evaluation. In order to obtain gas content accurately, based on the first law of Fick and material balance equation, mathematical model of gas dispersion flow in shale reservoir is established, analytical solution is obtained, and evaluation method of gas dispersion in shale reservoir is formed. On the basis of this study, the onsite desorption gas measuring device and testing process for coring shale gas wells are designed, the time-varying shale desorption gas is obtained, and the residual gas of shale is measured by the crushing method. The calculation formula of shale gas content is obtained by fitting the test data, the shale gas loss, and total gas content are calculated, and then analyzed the influences of the shale gas-bearing properties and gas content on single well production and geological reserves by combining the data of shale absorbed gas. The results show that the gas content calculated by the new method is about 6.54% more than that of log interpretation, and about 7.57% on average more than that obtained by traditional empirical method. The gas content proportion of long Yi1 subsegmental small layers 1 and 2 is smaller than that of long Yi1 subsegmental small layers 3 and 4 and long Yi2 subsegmental. It is considered that the amount of shale gas lost is large, because of the pressure release during the coring, and the comparative error of gas content obtained by several methods is within the acceptable range. So the new method can be used as an important mean to obtain shale gas content. The most direct factors affecting gas content are complex: Buried depth, porosity, total organic carbon content, water saturation, and formation temperature. Shale gas content is the material basis of single well production and geological reserves of shale gas, and it is also the decisive factor. Therefore, the accurate evaluation of shale gas content is one of the key techniques to evaluate shale gas well productivity and shale gas resources, which is of great significance.

scholarly journals Factors Controlling Shale Reservoirs and Development Potential Evaluation: A Case Study

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chao Luo ◽  
Hun Lin ◽  
Yujiao Peng ◽  
Hai Qu ◽  
Xiaojie Huang ◽  
...  
Keyword(s):  
Shale Gas ◽  
Mineral Content ◽  
Gas Content ◽  
Longmaxi Formation ◽  
Development Potential ◽  
Reservoir Characteristics ◽  
Lower Silurian ◽  
Single Well ◽  
Shale Reservoir ◽  
Shale Reservoirs

The shale of the Lower Silurian Longmaxi Formation is an important gas-producing layer for shale gas development in southern China. This set of shale reservoir characteristics and shale gas development potential provide an important foundation for shale gas development. This study takes wellblock XN111 in the Sichuan Basin, China, as an example and uses X-ray diffraction (XRD), scanning electron microscopy (SEM), isothermal adsorption, and other techniques to analyze the shale reservoir characteristics of the Lower Silurian Longmaxi Formation. The results show that the Lower Silurian Longmaxi Formation was deposited in a deep-water shelf environment. During this period, carbonaceous shale and siliceous shale characterized by a high brittle mineral content ( quartz > 40   wt . % , carbonate   mineral > 10   wt . % ) and a low clay mineral content (<30 wt.%, mainly illite) were widely deposited throughout the region. The total organic carbon (TOC) content reaches up to 6.07 wt.%, with an average of 2.66 wt.%. The vitrinite reflectance is 1.6–2.28%, with an average of 2.05%. The methane adsorption capacity is 0.84–4.69 m3/t, with an average of 2.92 m3/t. Pores and fractures are developed in the shale reservoirs. The main reservoir space is composed of connected mesopores with an average porosity of 4.78%. The characteristics and development potential of the shale reservoirs in the Lower Silurian Longmaxi Formation are controlled by the following factors: (1) the widespread deep-water shelf deposition in wellblock XN111 was a favorable environment for the development of high-quality shale reservoirs with a cumulative thickness of up to 50 m; (2) the high TOC content enabled the shale reservoir to have a high free gas content and a high adsorptive gas storage capacity; and (3) the shale’s high maturity or over maturity is conducive to the development of pores and fractures in the organic matter, which effectively improves the storage capacity of the shale reservoirs. The reservoir characteristic index was constructed using the high-quality shale’s thickness, gas content, TOC, fracture density, and clay content. Using production data from shale gas wells in adjacent blocks, a mathematical relationship was established between the Estimated Ultimate Recovery (EUR) of a single well and the Reservoir Characteristics Index (Rci). The EUR of a single well in wellblock XN111 was estimated.

Economic benefit of shale gas exploitation based on back propagation neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8823-8830
Author(s):  
Jiafeng Li ◽  
Hui Hu ◽  
Xiang Li ◽  
Qian Jin ◽  
Tianhao Huang
Keyword(s):  
Neural Network ◽  
Shale Gas ◽  
Bp Neural Network ◽  
Large Scale ◽  
Linear Prediction ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Economic Benefits ◽  
Gas Well ◽  
Well Production

Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods

New method for prediction of shale gas content in continental shale formation using well logs

2016 ◽  
Vol 13 (2) ◽  
pp. 393-405 ◽  
Author(s):  
Sheng-Jie Li ◽  
Zhe Cui ◽  
Zhen-Xue Jiang ◽  
Yu Shao ◽  
Wei Liao ◽  
...  
Keyword(s):  
Shale Gas ◽  
New Method ◽  
Well Logs ◽  
Gas Content ◽  
Shale Formation

scholarly journals Tight carbonate gas well deliverability evaluation and reasonable production proration analysis

2021 ◽  
Author(s):  
Jiang Li ◽  
Xianchao Chen ◽  
Ping Gao ◽  
Jingchao Zhou
Keyword(s):  
Numerical Model ◽  
Stress Sensitivity ◽  
Gas Production ◽  
Productivity Index ◽  
Dual Porosity ◽  
Gas Reservoirs ◽  
Gas Well ◽  
Well Production ◽  
Tight Carbonate ◽  
Single Well

AbstractIt is very important to accurately predict the gas well productivity and reasonably allocate the gas production at the early development stage of gas reservoirs. However, both the non-Darcy and stress sensitivity effects have not been investigated in dual-porosity model of tight carbonate gas reservoirs. This paper proposed a new dual-porosity binomial deliverability model and single-well production proration numerical model, which consider the effects of non-Darcy and stress sensitivity. The field gas well deliverability tests data validated the accuracy of the new analytical model, which is a very helpful deliverability method when lacking deliverability test. A geological model was built on the results of the well log, well testing, and well production analysis. Then, a reasonable production proration analysis was conducted based on history matched single-well numerical model. The gas productivity index curve and production–prediction of MX22 several simulation cases were adopted to analyze the reasonable production proration. The results indicate that 1/6 may be suitable for high productivity gas well proration. In addition, the absolute open flow rate from the numerical simulation is higher than that from the new deliverability equation, which also shows that the pressure transient analysis sometimes has some deviation in formation property prediction. It is suggested comprehensively utilizing the analytical binomial model and the single-well numerical model in tight carbonate gas well deliverability evaluation.

Sign in / Sign up

Export Citation Format

Share Document