Identification of high permeability channels along horizontal wellbore in heterogeneous reservoir with bottom water

Zheng, Qiang; Liu, Huiqing; Zhang, Bo; Li, Nan; Li, Fang

doi:10.1007/s13202-013-0080-z

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…As a result, it is Cr-rich M 23 C 6 as secondary carbide that precipitates at the grain boundaries when the sample is aged at not higher than 800°C, and when the sample is aged at not lower than 900°C, it is W-rich M 6 C as secondary carbide that precipitates at the grain boundaries. The previous research has proved the above result [32]. The trend of weight gain shown in Fig.…”

Section: and The Inner Layer Consists Of Cr 2 O 3 And Nicr 2 O 4 supporting

confidence: 60%

Corrosion Behavior of Ni–20Cr–18W–1Mo Superalloy in Supercritical Water

Zhang

Wang

et al. 2014

Acta Metall. Sin. (Engl. Lett.)

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The corrosion behavior of Ni-20Cr-18 W-1Mo superalloy in supercritical water 500°C/25 MPa for 200 h is investigated using gravimetry, SEM/EDS, XPS, and TEM. The oxide films show a layered structure with Ni rich in the outer layer, and Cr rich in the inner layer, consisting of an outer Ni(OH) 2 and NiO layer, including some Cr(OH) 3 , and an inner Cr 2 O 3 , NiCr 2 O 4 , and WO 3 layer. Mo elements are not oxidized. The oxide films grow via a mixed mechanism, namely metal dissolution/oxide precipitation mechanism and solid-state growth mechanism. The effects of secondary and primary carbides on the weight-gain trend and oxide formation are discussed.

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Section: and The Inner Layer Consists Of Cr 2 O 3 And Nicr 2 O 4 supporting

confidence: 60%

Corrosion Behavior of Ni–20Cr–18W–1Mo Superalloy in Supercritical Water

Zhang

Wang

et al. 2014

Acta Metall. Sin. (Engl. Lett.)

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Influence of Pressure Difference Between Reservoir and Production Well on Steam-Chamber Propagation and Reservoir-Production Performance

et al. 2019

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Summary Steam-assisted gravity drainage (SAGD) is the most-effective thermal recovery method to exploit oil sand. The driving force of gravity is generally acknowledged as the most-significant driving mechanism in the SAGD process. However, an increasing number of field cases have shown that pressure difference might play an important role in the process. The objective of this paper is to simulate the effects of injector/producer-pressure difference on steam-chamber evolution and SAGD production performance. A series of 2D numerical simulations was conducted using the MacKay River and Dover reservoirs in western Canada to investigate the influence of pressure difference on SAGD recovery. Meanwhile, the effects of pressure difference on oil-production rate, stable production time, and steam-chamber development were studied in detail. Moreover, by combining Darcy's law and heat conduction along with a mass balance in the reservoir, a modified mathematical model considering the effects of pressure difference is established to predict the SAGD production performance. Finally, the proposed model is validated by comparing calculated cumulative oil production and oil-production rate with the results from numerical and experimental simulations. The results indicate that the oil production first increases rapidly and then slows down when a certain pressure difference is reached. The pressure difference has strong effects on steam-chamber-rising/expansion stages. However, at the expansion stage, lower pressure difference can achieve the same effect as high pressure difference. In addition, it is shown that the steam-chamber-expansion angle is a function of pressure difference. Using this finding, a new mathematical model is established considering the modification of the expansion angle, which (Butler 1991) treated as a constant. With the proposed model, production performance such as cumulative oil production and oil-production rate can be predicted. The steam-chamber shape is redefined at the rising stage, changing from a fan-like shape to a hexagonal shape, but not the single fan-like shape defined by (Butler 1991). This shape redefinition can clearly explain why the greatest oil-production rate does not occur when the steam chamber reaches the caprock. Literature surveys show few studies on how pressure difference influences steam-chamber development and SAGD recovery. The current paper provides a modified SAGD production model and an entirely new scope for SAGD enhanced oil recovery (EOR) that makes the pressure difference a new optimizable factor in the field.

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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity

Guo,

Kang,

Ding

et al. 2024

Applied Sciences

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Given that more and more oil reservoirs are reaching the high water cut stage during water flooding, the construction of an advanced algorithmic model for identifying inter-well connectivity is crucial to improve oil recovery and extend the oilfield service life cycle. This study proposes a state variable-based dynamic capacitance (SV-DC) model that integrates artificial intelligence techniques with dynamic data and geological features to more accurately identify inter-well connectivity and its evolution. A comprehensive sensitivity analysis was performed on single-well pairs and multi-well groups regarding the permeability amplitude, the width of the high permeable channel, change, and lasting period of injection pressure. In addition, the production performance of multi-well groups, especially the development of ineffective circulation channels and their effects on reservoir development, are studied in-depth. The results show that higher permeability, wider permeable channels, and longer injection pressure maintenance can significantly enhance inter-well connectivity coefficients and reduce time-lag coefficients. Inter-well connectivity in multi-well systems is significantly affected by well-group configuration and inter-well interference effects. Based on the simulation results, the evaluation index of ineffective circulation channels is proposed and applied to dozens of well groups. These identified ineffective circulation channel changing patterns provide an important basis for optimizing oil fields’ injection and production strategies through data-driven insights and contribute to improving oil recovery. The integration of artificial intelligence enhances the ability to analyze complex datasets, allowing for more precise adjustments in field operations. This paper’s research ideas and findings can be confidently extended to other engineering scenarios, such as geothermal development and carbon dioxide storage, where AI-based models can further refine and optimize resource management and operational strategies.

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Identification of high permeability channels along horizontal wellbore in heterogeneous reservoir with bottom water

Cited by 4 publications

References 8 publications

Corrosion Behavior of Ni–20Cr–18W–1Mo Superalloy in Supercritical Water

Corrosion Behavior of Ni–20Cr–18W–1Mo Superalloy in Supercritical Water

Influence of Pressure Difference Between Reservoir and Production Well on Steam-Chamber Propagation and Reservoir-Production Performance

A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity

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