Innovative Method for Analyzing Inter-Well Connectivity with Continuous Wavelet Transform

Abstract This study introduces an advanced method for mapping inter-well connectivity (IWC) to optimize waterflooding operations and enhance oil recovery. By leveraging sophisticated signal processing techniques, the proposed approach improves the understanding of reservoir dynamics and facilitates the design of more efficient flooding strategies. Specifically, Cross Wavelet Transform Coherence (CrWTC), utilizing the Continuous Wavelet Transform (CWT) with a complex Morlet wavelet, is applied to analyze injection and production rate data. This technique provides a more detailed and dynamic assessment of inter-well interactions compared to conventional statistical methods, overcoming their inherent limitations. The proposed methodology has been rigorously validated through simple reservoir simulation and field datasets. The CrWTC approach demonstrated superior accuracy and reliability in IWC assessment when compared to traditional techniques such as the Capacitance Resistance Model (CRM). It enables continuous monitoring of the reservoir's dynamic behavior, effectively capturing the progression of the waterfront during waterflooding operations. The results illustrate the potential of CrWTC to enhance the precision of IWC estimation, offering significant improvements over existing methods. This advanced technique provides deeper insights into the dynamic interplay between injectors and producers, facilitating better-informed decisions for optimizing waterflooding performance. Furthermore, the methodology's flexibility allows for adaptation to other enhanced oil recovery (EOR) processes, broadening its applicability across diverse reservoir environments. This study contributes valuable advancements to reservoir management by offering a novel and robust tool for analyzing reservoir connectivity, ultimately driving improvements in waterflooding efficiency and oil recovery. These findings provide actionable insights for the petroleum industry, supporting the development of more effective and sustainable recovery strategies.

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Publication Details

Journal
Offshore Technology Conference
Published
2025-04-28
DOI
https://doi.org/10.4043/35951-ms
Citations
2
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
4.25
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article

Innovative Method for Analyzing Inter-Well Connectivity with Continuous Wavelet Transform

Mohamed Soliman, Mohamed Adel Gabry, Amr Ramadan
2 citations
Offshore Technology Conference
Reservoir Engineering and Simulation Methods
4.25
article

Innovative Method for Analyzing Inter-Well Connectivity with Continuous Wavelet Transform

Mohamed Soliman, Mohamed Adel Gabry, Amr Ramadan
article en
2 citations

Abstract

Abstract This study introduces an advanced method for mapping inter-well connectivity (IWC) to optimize waterflooding operations and enhance oil recovery. By leveraging sophisticated signal processing techniques, the proposed approach improves the understanding of reservoir dynamics and facilitates the design of more efficient flooding strategies. Specifically, Cross Wavelet Transform Coherence (CrWTC), utilizing the Continuous Wavelet Transform (CWT) with a complex Morlet wavelet, is applied to analyze injection and production rate data. This technique provides a more detailed and dynamic assessment of inter-well interactions compared to conventional statistical methods, overcoming their inherent limitations. The proposed methodology has been rigorously validated through simple reservoir simulation and field datasets. The CrWTC approach demonstrated superior accuracy and reliability in IWC assessment when compared to traditional techniques such as the Capacitance Resistance Model (CRM). It enables continuous monitoring of the reservoir's dynamic behavior, effectively capturing the progression of the waterfront during waterflooding operations. The results illustrate the potential of CrWTC to enhance the precision of IWC estimation, offering significant improvements over existing methods. This advanced technique provides deeper insights into the dynamic interplay between injectors and producers, facilitating better-informed decisions for optimizing waterflooding performance. Furthermore, the methodology's flexibility allows for adaptation to other enhanced oil recovery (EOR) processes, broadening its applicability across diverse reservoir environments. This study contributes valuable advancements to reservoir management by offering a novel and robust tool for analyzing reservoir connectivity, ultimately driving improvements in waterflooding efficiency and oil recovery. These findings provide actionable insights for the petroleum industry, supporting the development of more effective and sustainable recovery strategies.

Offshore Technology Conference
University of Houston (US)
Openalex Percentile: Top 5%
Reservoir Engineering and Simulation Methods
4.25
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