Flexible Multi-Well Interference Test Design for a Deep-Water Field (Russian)

Zubarev, Denis; Mardanov, Ruslan; Bochkarev, V.A.; Khmelevskij, Vyacheslav

doi:10.2118/196837-ru

Cited by 2 publications

(2 citation statements)

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“…eq serves as a mathematical model describing the correlation between the degree of recovery of recoverable reserves and the water cut of oil production wells. When the water-cut rising profiles of wells within the same mode display similarity, a foundational water-cut rising curve can be introduced to delineate the rising pattern of each reservoir architecture mode using eq …”

Section: Refined Prediction Methodsmentioning

confidence: 99%

“…Our study seeks to leverage dynamic relative permeability as a foundational theory, to establish a quantitative framework that accounts for the complex interplay between reservoir factors and production performance. , We aim to address the challenges inherent in predicting production dynamics in deep-water turbidite sandstone oilfields. ,− By analyzing real production data from deep-water–oilfields, we seek to refine existing prediction methods . and develop novel approaches tailored to the unique challenges of these environments guidance. , Our ultimate goal is to enhance the accuracy and reliability of production forecasts in deep-water–oilfields, , thereby facilitating more effective reservoir management and maximizing hydrocarbon recovery . This method has been seamlessly implemented in the challenging environment of deep-water turbidite sandstone oilfields, exemplified by its effective application in the AKPO oilfields within the Niger Delta Basin, West Africa …”

Section: Introductionmentioning

confidence: 99%

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Refined Prediction Method for Production Performance of Deep-Water Turbidite Sandstone Oilfield: A Case Study of AKPO in Niger Delta Basin, West Africa

Kang,

Xiong,

Liu

et al. 2024

ACS Omega

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Deep-water oilfields frequently employ large or superlarge well spacing, leading to significant production dynamics influenced by reservoir factors. Traditional methodologies often disregard these influences, resulting in poor accuracy. Therefore, an enhanced prediction methodology rooted in reservoir characteristics is proposed. This approach introduces the dynamic relative permeability law as a bridge, capturing macroscopic oil/water movement within the reservoir. For the first time, it integrates production dynamics with key controlling reservoir factors, encompassing reservoir architecture, injection-production connectivity, and reservoir heterogeneity. The results indicate that (1) In deep-water turbidite sandstone fields with ultralarge injector-producer well spacings, the distribution of oil−water movement is primarily influenced by reservoir connectivity and heterogeneity. The injection water sweeping ability coefficient can quantitatively describe the water flooding capacity, with a strong negative correlation between the injection water sweeping ability coefficient and interwell nonconnectivity coefficient and reservoir homogeneity coefficient. This suggests that better reservoir connectivity or weaker heterogeneity results in stronger water flooding capacity, leading to a wider range of water flooding under the same injection volume. (2) For regions with strong water flooding capacity (injection water sweeping ability coefficient 0.30−0.80), the water-free production period is the main production stage, with a focus on improving the planar flooding conditions. For regions with poor water flooding capacity (injection water sweeping ability coefficient 0.00−0.10), the middle and late water-cut periods are the main production stages, with a focus on improving interlayer dynamic differences in the later stages. For regions with moderate water flooding capacity (injection water sweeping ability coefficient 0.10−0.30), the initial focus should be on expanding planar flooding, followed by a focus on improving interlayer dynamic differences in the later stages. (3) The dynamic relative permeability law, capable of comprehensively portraying the reservoir's influence on macroscopic oil/water movement, emerges as a rational choice for production performance prediction in such contexts. Our method can improve the accuracy, compared with traditional method without geographical factors, from 45% to 90% during water-cut rising stage and 31% to 81% during production declining stage. The high prediction accuracy (90%) observed in the AKPO oilfields underscores the method's efficacy in directing on-site optimization and adjustments for the development of deep-water turbidite sandstone oilfields.

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Section: Refined Prediction Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Refined Prediction Method for Production Performance of Deep-Water Turbidite Sandstone Oilfield: A Case Study of AKPO in Niger Delta Basin, West Africa

Kang,

Xiong,

Liu

et al. 2024

ACS Omega

View full text Add to dashboard Cite

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Abandoned Exploration and Appraisal Wells Turned into Long-Term Monitoring Wells for Enhanced Far-Field Reservoir Characterization: Lessons Learned from a Frontier Deepwater Installation

Mimoun

Gagnon

Zeilinger

et al. 2023

Day 1 Tue, January 24, 2023

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This paper discusses benefits, caveats, and lessons learned of wireless pressure monitoring systems in abandoned exploration and appraisal wells to gain insight into reservoir properties that extend beyond the scope of standard well testing. Appraising large offshore deepwater discoveries requires drilling and evaluating several wells across a field to increase subsurface understanding and reduce development uncertainties. The recent technological advancement of wireless pressure monitoring systems, which utilize electromagnetic telemetry, has enabled operators to capitalize on previously untapped value from exploration and appraisal wells by turning them into long-term observation wells, without compromising abandonment compliance. Even if not tested, these penetrations can provide valuable dynamic data for enhanced reservoir characterization early in the appraisal life cycle and at little incremental cost. Such a system was installed in a deepwater well in Cyprus to further understand potential compartmentalization risks. A nearby well test, executed 3 years after system installation, was successfully monitored by the abandoned penetration. The interference test helped shed light on far-field connectivity, inter-well reservoir properties, and connected volume. This information will improve the fidelity of the geological and reservoir simulation models utilized to inform depletion planning and support field development and commercial decisions. This paper presents novel findings to help ensure data quality and representativeness from such systems, focusing on the overprint of the wellbore environment on the reservoir signal. Specifically, the deployment in a cased wellbore left with drilling fluid revealed lengthier and more complex swap-out dynamics with reservoir fluid than anticipated. As with most new technologies, subsequent installations benefited from these valuable lessons learned, resulting in more robust and reliable implementation practices.

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Flexible Multi-Well Interference Test Design for a Deep-Water Field (Russian)

Cited by 2 publications

References 0 publications

Refined Prediction Method for Production Performance of Deep-Water Turbidite Sandstone Oilfield: A Case Study of AKPO in Niger Delta Basin, West Africa

Refined Prediction Method for Production Performance of Deep-Water Turbidite Sandstone Oilfield: A Case Study of AKPO in Niger Delta Basin, West Africa

Abandoned Exploration and Appraisal Wells Turned into Long-Term Monitoring Wells for Enhanced Far-Field Reservoir Characterization: Lessons Learned from a Frontier Deepwater Installation

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