Effect of rock mass permeability and rock fracture leak-off coefficient on the pore water pressure distribution in a fractured slope

Shaghaghi, Tahereh; Ghadrdan, Mohsen; Tolooiyan, Ali

doi:10.1016/j.simpat.2020.102167

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…Fig. (12) shows just four graphs related to the pumped volumes 1.00, 2.00, 3.00, and 3.25 (bbl), respectively. Based on the input data (Table A1), the maximum pressure is 3000 (psi) and is shown in Fig.…”

Section: Lot Fitmentioning

confidence: 99%

“…Estimating reservoir parameters and reservoir characterization are vital in all stages of reservoir evaluation, from exploration to exploitation, which is done by different methods and tools and for other purposes [1][2][3][4][5][6][7][8][9]. One of the most common jobs done during drilling operations for decades is the Leak-off Test (LOT) [10][11][12]. Different types of downhole formation tests could be conducted to characterize the newly drilled wellbores, especially the geomechanical properties and the state of in-situ stresses.…”

Section: Introductionmentioning

confidence: 99%

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Review of the Leak-off Tests with a Focus on Automation and Digitalization

Bakhshi

Elahifar

Shahrabadi³

et al. 2022

Int. J. Petrol. Technol.

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The drilling and research communities are leading the way toward more digitally-controlled operations to ensure that the drilling process takes place as safely and gently as possible with the lowest possible carbon footprint. Today’s cutting-edge operations are run on large high-performance drilling installations where operations are largely run remotely from the driller’s operating station. Digitalization of the drilling process is the goal for performing drilling operations remotely from onshore. Leak-off test (LOT) or extended leak-off test (XLOT) plays a critical role in the petroleum industry. Therefore, recognizing all affecting parameters on LOT/XLOT and Formation integrity test (FIT) performance is vital. Because, in some cases, it is not possible to fully understand what happened during the test, having a deep insight into the LOT procedure is very important. One of the current study's main objectives is to thoroughly explain all stages of these tests and assemble all the significant parameters. Thus, many scientific papers on these tests were deeply reviewed and were classified into four main groups focusing on the application of LOT/XLOT (i) in stress estimation and geomechanical studies, (ii) concerning hydraulic fracturing, (iii) concerning wellbore stability, and (iv) numerical modeling, and then, the corresponding discussions were conducted. It was found that in-situ stress estimation is the most common application of the leak-off test. Moreover, considering the importance of LOT and the desire to digitize operations in the oil and gas industry, it was found that the automatic LOT/XLOT is a fully required approach. The primary purpose of this study, which is hence considered its main contribution, is to prepare a LOT flowchart that would set off the further code development tasks of the field. The fundamental code of the present study was written and checked using a real dataset in a Python environment. The results were satisfying and indicated a successful start, which lays a foundation for future automated LOT/XLOT tests.

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Section: Lot Fitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of the Leak-off Tests with a Focus on Automation and Digitalization

Bakhshi

Elahifar

Shahrabadi³

et al. 2022

Int. J. Petrol. Technol.

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Section: Three-dimensional Numerical Modelingmentioning

confidence: 99%

“…The 8-node brick elements were employed to simulate the sheet pile walls. In addition, 8-node brick, trilinear displacement, and trilinear pore pressure elements were used to model the soil domain [24,25]. The soil water characteristic curves (SWCCs) of the silty clay and sandstone are presented in Figure 3a, whereas the corresponding relative hydraulic conductivities, given as k w /k s , where k w and k s are the unsaturated and saturated coefficients of permeability, respectively, are presented in Figure 3b.…”

Section: Three-dimensional Numerical Modelingmentioning

confidence: 99%

Three-Dimensional Numerical Investigation on the Seepage Field and Stability of Soil Slope Subjected to Snowmelt Infiltration

Cong

Tang

Ling

et al. 2021

Water

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Cutting slope failures occur frequently along the high-speed railways in Northeast China during the construction due to snowmelt infiltration. This study addresses this issue by applying a three-dimensional numerical model. The influence of the depth of accumulated snow (ds), daily temperature variation (ΔT), and freeze-thaw (F-T) cycles on the seepage field and stability of cutting slopes is discussed. The results demonstrate that water seepage due to snowmelt infiltration primarily extends through the ground surface by about 10 m. The deep-seated instability is likely to occur under a prolonged and highly accumulated infiltration, while shallow failure is associated with intense, short-duration snowmelt infiltration. The maximum degree of saturation (Sr) and pore-water pressure (PWP) values are observed at the slope toe. Increasing ds and ΔT increase the Sr and PWP due to snowmelt infiltration and thereby decreases cutting slope stability. Compared to the ds and ΔT, the F-T cycle is more likely to cause slope failure. In addition, the F-T cycle also induces the reduction of soil strength and the crack propagation. Overall, the conducted study provided useful help toward the process of safer design for cutting slope along the high-speed railway in seasonally cold regions.

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