Analyzing the production data of fractured horizontal wells by a linear triple porosity model: Development of analysis equations

Ali, Afsar; Siddiqui, Shahab Kafeel; Dehghanpour, Hassan

doi:10.1016/j.petrol.2013.10.016

Cited by 35 publications

(7 citation statements)

References 19 publications

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“…Since it is the same fluid in the macro, meso and micro phases we also assume ρc is the same for the f, m and c terms. Thus, we may add (3) -(6) and employ (1) to derive a single energy balance equation for the tridispersive porous medium. We put…”

Section: Basic Modelmentioning

confidence: 99%

“…For example, underground oil reservoirs are modelled as triple porosity systems, e.g. Ali et al [1], Deng et al [7], Olusola et al [18], Wang et al [23]. Triple porosity features in modelling methane recovery from coal beds, Wei & Zhang [24], Zou et al [25], and likewise is important in analysing the procurement of drinking water from an aquifer, Zuber & Motyka [26].…”

Section: Introductionmentioning

confidence: 99%

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Tridispersive thermal convection

Gentile

Straughan

2018

Nonlinear Analysis: Real World Applications

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We derive the linear instability and nonlinear stability thresholds for a problem\ud of thermal convection in a tridispersive porous medium with a single temperature.\ud Importantly we demonstrate that the nonlinear stability threshold is the same as the\ud linear instability one. The significance of this is that the linear theory is capturing\ud completely the physics of the onset of thermal convection. This result is different to\ud the general theory of thermal convection in a tridispersive porous material where\ud the temperatures in the macropores, mesopores and micropores are allowed to be\ud different. In that case the coincidence of the nonlinear stability and linear instability\ud boundaries has not been proved

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Section: Basic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tridispersive thermal convection

Gentile

Straughan

2018

Nonlinear Analysis: Real World Applications

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“…The most common methods for fracture characterization are rate-transient analysis (RTA), pressure-transient analysis (PTA), micro-seismic analysis, and tracer test. Many researchers used RTA and PTA to characterize the fracture network − because production data are available for almost every well. Micro-seismic monitoring is also broadly used in the field to characterize the fracture network during and after the hydraulic fracturing operations. − Tracer test is another method commonly used to characterize the fracture network. − Each of these three methods has its strengths and limitations.…”

Section: Introductionmentioning

confidence: 99%

Fracture Characterization Using Flowback Water Transients from Hydraulically Fractured Shale Gas Wells

Liu

Yandong

et al. 2019

ACS Omega

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Fracture characterization is necessary to evaluate fracturing operations and forecast well performance. However, it is challenging to quantitatively characterize the complex fracture network in shale gas reservoirs because of the unknown density and reactivation of natural fractures. The flowback water transients can provide useful information about the complexity of the fracture network after the fracturing operations. In this paper, a mathematical model for modeling fracturing fluid flowback of hydraulically fractured shale gas wells is established. This proposed model characterizes the flow of water and gas in a hydraulic fracture-induced natural fracture–shale matrix system. Hydraulic, capillary, and osmotic convections; gas adsorption; and natural fracture closure are considered in this model. Flowback simulation of a hydraulically fractured shale gas well is conducted using the developed numerical simulator, and the water/gas transients between hydraulic fractures, natural fractures, and matrix are obtained. Finally, two field cases from the Longmaxi Formation, Southern Sichuan Basin, China, are used for comparison of the flowback data with the model results. The good match of the two water transients provides a group of fracture network parameters, that is, the effective length and conductivity of main hydraulic fractures and the density of induced natural fractures. The proposed model for describing the flowback process and its meaningful relationship with the fracture–network complexity provides an alternative approach for post-stimulation evaluation.

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“…Production decline analysis is considered to be an important reservoir engineering method for reservoir characterization and evaluation in the development of oil reservoirs, where production data is employed to estimate reservoir properties (e.g., formation permeability) and original oil-in-place [1][2][3][4]. Over the last decades, pressure response analysis and production decline analysis have received much attention owing to their low cost and high reliability [5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Modified Blasingame Production Analysis Method for Vertical Wells Considering the Quadratic Gradient Term

2019

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Fluid flow in actual oil reservoirs is consistent with material balance, which should be described by the nonlinear governing equation, including the quadratic gradient term (QGT). Nonetheless, the widely-used Blasingame production decline analysis (BPDA) is established based on the conventional governing equation neglecting the QGT, which leads to some errors in the interpretation of production data under some conditions, such as wells producing at a large drawdown pressure. This work extends BPDA to incorporate the effect of the QGT by modifying material balance time and normalized rate functions. The step-by-step procedure for the proposed production decline analysis (PPDA) is presented and compared with that for BPDA. The simulated cases for various production scenarios are used to validate PPDA. A field case is employed to show the applicability of PPDA in practice. Comparisons between the results obtained by BPDA and PPDA are analyzed in detail. It is found that BPDA overestimates the permeability and original oil-in-place, while PPDA works well. Compared with BPDA, PPDA can be employed to obtain more accurate original oil-in-place and reservoir properties, especially when wells produce at a large drawdown pressure.

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Analyzing the production data of fractured horizontal wells by a linear triple porosity model: Development of analysis equations

Cited by 35 publications

References 19 publications

Tridispersive thermal convection

Tridispersive thermal convection

Fracture Characterization Using Flowback Water Transients from Hydraulically Fractured Shale Gas Wells

A Modified Blasingame Production Analysis Method for Vertical Wells Considering the Quadratic Gradient Term

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