Gas Multiple Flow Mechanisms and Apparent Permeability Evaluation in Shale Reservoirs

Feng, Xuelei; Ma, Feifei; Zhao, Haijun; Liu, Gang; Guo, Jie

doi:10.3390/su11072114

Cited by 19 publications

(7 citation statements)

References 54 publications

(146 reference statements)

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“…), and it is greatly affected by the temperature, pressure, and properties of pore surface [11,12]. Therefore, the Figure 1: Complex flow behavior in shale gas reservoirs [7]. 2 Geofluids permeability of shales is about three orders for magnitude higher than Darcy's permeability.…”

Section: Flow Parameters Calculation Of Porous Media In Shale Reservoirsmentioning

confidence: 99%

“…Therefore, the complex morphology of fracture network in shale gas reservoirs brings serious ambiguity to the inversion of fracture flow capacity. It is urgent to establish a comprehensive inversion method by 7 Geofluids combining fracture growth algorithms, microseismic data, and production data history matching. Using the existing fracture network simulation method, the initial fracture morphology can be calculated through the actual geological parameters, and optimization algorithms such as SPSA optimization algorithm can be used to match the fracture morphology and microseismical data.…”

Section: Equivalent Integralmentioning

confidence: 99%

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A Review of Flow Mechanism and Inversion Methods of Fracture Network in Shale Gas Reservoirs

Huang

Sheng

et al. 2021

Geofluids

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The pore structure of shale gas reservoirs has strong heterogeneity, and the flow mechanism in multiscale media is complex. The fracture network of hydraulic fracturing is significantly affected by reservoir in situ stress, rock mechanical properties, and natural fracture distribution. At present, there is no efficient and accurate inversion method for fracture networks. Accurately describing fracture network morphology and flow capacity distribution of induced fracture is an important basis for production analysis, fracturing evaluation, and production plan. This article focuses on the hot issues of shale gas development, from three aspects: flow parameter characterization method of organic/inorganic matter, multiscale mass transfer simulation of shale gas reservoir, and inversion method of fracture network morphology and flow capacity, to introduce relevant research progress in detail. At the same time, the advantages and shortcomings of current related researches are compared and analyzed. Based on this, the key scientific problems existing on flow mechanisms and inversion method of fracture network in shale gas reservoirs are proposed, which can provide guidance for further research.

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Section: Flow Parameters Calculation Of Porous Media In Shale Reservoirsmentioning

confidence: 99%

Section: Equivalent Integralmentioning

confidence: 99%

A Review of Flow Mechanism and Inversion Methods of Fracture Network in Shale Gas Reservoirs

Huang

Sheng

et al. 2021

Geofluids

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“…the volume of fluid flowing through a unit section (cm 2 ) in unit time (s) under unit pressure (MPa). Feng et al studied gas multiple flow mechanisms and apparent permeability evaluation in shale reservoirs by Darcy's law [3]. Although Darcy's law is the most accurate method to directly measure the permeability of core samples, it has some disadvantages, such as being high cost, and time consuming [4,5].…”

Section: Introductionmentioning

confidence: 99%

Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data

Hu¹,

Pan²,

Kong³

et al. 2020

Meas. Sci. Technol.

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Permeability estimation plays an important role in reservoir evaluation and hydrocarbon development, etc. Traditional physical model-based methods have problems with being time consuming and high cost. The applications of machine learning are currently becoming more and more extensive, however, there are still several limitations to previous machine learning-based permeability estimation methods, such as a limited number of samples, a requirement of prior knowledge, and some parameters needing to be calculated indirectly. In this paper, a hybrid reservoir permeability prediction approach, which is based on a certain scale of permeability dataset, embedded feature selection (EFS) and a light gradient boosting machine (LightGBM), is proposed. First, EFS is used to select features from the raw dataset. Then a LightGBM is adopted to predict the permeability. The influence of feature selection threshold, the base learners' number and dataset size on prediction results is also investigated. In addition, different feature selections and prediction models are compared. The proposed hybrid approach is also verified on other datasets. The experimental results show that the proposed approach can effectively predict the reservoir permeability based on limited direct logging data.

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“…However, the main issue with drilling a horizontal well is that the drilling cost is much higher compared to that of vertical wells. Therefore, a hydraulic fracturing technique was developed to improve the productivity of unconventional reservoirs [9,10]. Longer conductive paths are created due to the fracturing treatment, which reduces the pressure drop and increases the hydrocarbon recovery.…”

Section: Introductionmentioning

confidence: 99%

Gas Production from Gas Condensate Reservoirs Using Sustainable Environmentally Friendly Chemicals

et al. 2019

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Unconventional reservoirs have shown tremendous potential for energy supply for long-term applications. However, great challenges are associated with hydrocarbon production from these reservoirs. Recently, injection of thermochemical fluids has been introduced as a new environmentally friendly and cost-effective chemical for improving hydrocarbon production. This research aims to improve gas production from gas condensate reservoirs using environmentally friendly chemicals. Further, the impact of thermochemical treatment on changing the pore size distribution is studied. Several experiments were conducted, including chemical injection, routine core analysis, and nuclear magnetic resonance (NMR) measurements. The impact of thermochemical treatment in sustaining gas production from a tight gas reservoir was quantified. This study demonstrates that thermochemical treatment can create different types of fractures (single or multistaged fractures) based on the injection method. Thermochemical treatment can increase absolute permeability up to 500%, reduce capillary pressure by 57%, remove the accumulated liquids, and improve gas relative permeability by a factor of 1.2. The findings of this study can help to design a better thermochemical treatment for improving gas recovery. This study showed that thermochemical treatment is an effective method for sustaining gas production from tight gas reservoirs.

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Gas Multiple Flow Mechanisms and Apparent Permeability Evaluation in Shale Reservoirs

Cited by 19 publications

References 54 publications

A Review of Flow Mechanism and Inversion Methods of Fracture Network in Shale Gas Reservoirs

A Review of Flow Mechanism and Inversion Methods of Fracture Network in Shale Gas Reservoirs

Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data

Gas Production from Gas Condensate Reservoirs Using Sustainable Environmentally Friendly Chemicals

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