Location and evaluation of flow barriers using 4D seismic

Almaskeri, Yahya Amer; MacBeth, Colin

doi:10.1190/1.2148223

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…In this study, well production data are combined with fault network information to assess the degree of saturation change across the faults. More recently, Al-Maskeri and MacBeth (2005) estimated the position and relative magnitude of transmissibility multipliers at barriers directly from discontinuities in 4D seismic attributes controlled predominantly by pressure, and applied the method to a North Sea field.…”

Section: Introductionmentioning

confidence: 99%

A method to update fault transmissibility multipliers in the flow simulation model directly from 4D seismic

Benguigui

Yin

MacBeth

2014

Journal of Geophysics and Engineering

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We propose a new approach to update fault seal estimates in fluid flow simulation models by direct use of 4D seismic amplitudes calibrated by a well geological constraint. The method is suited to compartmentalized reservoirs and based on metrics created from differences in the 4D seismic signature on either side of major faults. The effectiveness of the approach is demonstrated by application to data from the fault controlled Heidrun field in the Norwegian Sea. The results of this application appear favourable and show that our method can detect variations of fault permeability along the major controlling faults in the field. Updates of the field simulation model with the 4D seismic-derived transmissibilities are observed to decrease the mismatch between the predicted and historical field production data in the majority of wells in our sector of interest.

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Section: Introductionmentioning

confidence: 99%

A method to update fault transmissibility multipliers in the flow simulation model directly from 4D seismic

Benguigui

Yin

MacBeth

2014

Journal of Geophysics and Engineering

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Direct correlation of 4D seismic and well activity for dynamic reservoir interpretation

Huang¹,

MacBeth²

2009

SEG Technical Program Expanded Abstracts 2009

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A method is proposed which identifies areas in the 4D seismic response which directly correlate with well activity, and hence are consistent with the reservoir engineer's understanding of the field. This approach makes use of the essential requirement for a causal relationship between the seismic difference signatures and the cumulative produced or injected volumes. The method relies upon the use of multiple and frequently shot seismic surveys over a common reservoir area. It is applied to data from the Schiehallion field, West of the Shetland Islands, and the resultant signals are observed to be robust, with a much reduced noise level and to enhance particularly weak 4D seismic signatures. The results may be indicative of regions of connectivity associated with each well.

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Topological Data Analysis to Solve Big Data Problem in Reservoir Engineering: Application to Inverted 4D Seismic Data

Alfaleh

Wang

Yan

et al. 2015

SPE Annual Technical Conference and Exhibition

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Data analysis is one of the most important topics in any industry. In petroleum engineering, the large, complex, and multi-dimensional reservoir data sets (big data) presents a challenge for engineers to study the masses of unstructured information and make decisions. A new approach to analyze complex data is called Topological Data Analysis (TDA) which aims to extract meaningful information from such data. TDA relies on the concept that complex data has shapes where shape has meanings. It analyzes the shape of complex data, identifying clusters and their statistical significance. The objective of this paper is to introduce TDA to reservoir engineering using an example of inverted 4D seismic data for studying reservoir connectivity and compartmentalization. In this paper, we introduce the principles of TDA and discuss its potential in reservoir engineering, which could allow identification of reservoir engineering data behavior, recognition of new opportunities, detection of anomalies and events, and minimizing uncertainties. The TDA procedures are introduced using inverted 4D seismic data set to study reservoir connectivity and compartmentalization. The process to generate and process the data set is explained. Similarity distance function and lenses are defined and used to create TDA graphs for feature identification and analysis. It is shown that TDA is able to predict the compartmentaliztion of the reservoir models with various process configurations. Variance normalized Euclidean and topological neighborhood function are used successfully to compartmentalize the reservoir model. Using normalized input dataset, correlation and principle component analysis also create similar compartments. The success of TDA in discovering meaningful patterns is attributed to the similarity distance function representing the objective of study, one or more lenses exposing the data, and the right combination of input data, similarity distance function and lenses. A promising big data analysis method, TDA, is introduced to reservoir engineering application with principles, procedures and examples. It has been shown that TDA can automatically discover critical intelligence within the 4D seismic data set for studying reservoir connectivity and compartmentalization, which are essential to the accuracy of forecasts and development plans, the validity of reservoir simulation, and the success of performance diagnostics and optimization.

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Location and evaluation of flow barriers using 4D seismic

Cited by 3 publications

References 5 publications

A method to update fault transmissibility multipliers in the flow simulation model directly from 4D seismic

A method to update fault transmissibility multipliers in the flow simulation model directly from 4D seismic

Direct correlation of 4D seismic and well activity for dynamic reservoir interpretation

Topological Data Analysis to Solve Big Data Problem in Reservoir Engineering: Application to Inverted 4D Seismic Data

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