Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
To establish relationships between seismic derived acoustic impedance and LWD porosity measurements from several horizontal wells to be implemented into property modeling. This workflow is a sequential process that integrates property relationships from seismic scale to log scale using log data from a dozen of vertical wells and validate results at field scale with log data from about 50 horizontal wells. Overall process functions at grid-block scale in a 100x100mx1ft cell size following the four main phases. The first phase, involves exploratory data analysis and quality check. This is followed by a second phase of model building to concatenate all the required modeling steps. Third phase of model optimization explores the effect of all the parameters and data links defined in the process. Finally fourth phase involves validation to assess residual errors from the resulting porosity distributions and quantifying predictability of the model itself. A comprehensive and robust set of properties is generated by performing a recursive and convergent process of property modeling using lateral coverage from seismic inversion products and vertical resolution near well log scale. Independent analysis of different scales of porosity measurements are reconciled in this systematic approach by defining average distributions and descriptive statistics of reservoir properties at field scale. Variable data types, sample sizes and data resolution evolves across four different phases that integrates a holistic understanding of datasets in different dimensions. Quantitative analysis of seismic data ultimate correlates to a dense dataset from long horizontal wells. Final predictability of the model reaches a high confidence level (about 80% accuracy) when testing the predicted properties vs real measurements in about 50 horizontal wells. Multiple realizations of properties distribution matching all the available data is final output that provides a better understanding of reservoir property. This workflow allows total utilization of log data from horizontal wells into property distribution with no impact on overall statistics. No complex de-clustering operations are required as all the descriptive statistics are defined from vertical wells calibrated to core and seismic data. This methodology maximizes the value of LWD formation evaluation logs in property distribution, by combining the resolution of the logs along long horizontal wells with the strong lateral coverage of seismic inversion cubes.
To establish relationships between seismic derived acoustic impedance and LWD porosity measurements from several horizontal wells to be implemented into property modeling. This workflow is a sequential process that integrates property relationships from seismic scale to log scale using log data from a dozen of vertical wells and validate results at field scale with log data from about 50 horizontal wells. Overall process functions at grid-block scale in a 100x100mx1ft cell size following the four main phases. The first phase, involves exploratory data analysis and quality check. This is followed by a second phase of model building to concatenate all the required modeling steps. Third phase of model optimization explores the effect of all the parameters and data links defined in the process. Finally fourth phase involves validation to assess residual errors from the resulting porosity distributions and quantifying predictability of the model itself. A comprehensive and robust set of properties is generated by performing a recursive and convergent process of property modeling using lateral coverage from seismic inversion products and vertical resolution near well log scale. Independent analysis of different scales of porosity measurements are reconciled in this systematic approach by defining average distributions and descriptive statistics of reservoir properties at field scale. Variable data types, sample sizes and data resolution evolves across four different phases that integrates a holistic understanding of datasets in different dimensions. Quantitative analysis of seismic data ultimate correlates to a dense dataset from long horizontal wells. Final predictability of the model reaches a high confidence level (about 80% accuracy) when testing the predicted properties vs real measurements in about 50 horizontal wells. Multiple realizations of properties distribution matching all the available data is final output that provides a better understanding of reservoir property. This workflow allows total utilization of log data from horizontal wells into property distribution with no impact on overall statistics. No complex de-clustering operations are required as all the descriptive statistics are defined from vertical wells calibrated to core and seismic data. This methodology maximizes the value of LWD formation evaluation logs in property distribution, by combining the resolution of the logs along long horizontal wells with the strong lateral coverage of seismic inversion cubes.
The objective of this paper is to define the relationship between diagenetic processes observed in core, reservoir thickness measured in wells and the thickness distribution at the field scale using seismic attributes. The delineation of a robust geological reservoir quality concept honouring all scales of observation is of extreme importance when defining an FDP based on a horizontal drilling programme. Pressure dissolution features measured in core provide evidence that the intensity and abundance of chemical compaction varies across Reservoir 2 in Oilfield A. Reservoir thickness was measured in wells across the field. A negative correlation was found between reservoir thickness and the abundance of chemical compaction features field wide. This observation about reduction in reservoir thickness was subsequently validated using 3D seismic interpretation and attributes and ultimately implemented in structural reservoir modeling. Mapping of Reservoir 2 thickness from wells (point data) identified a trend of decreasing thickness across the field from the crest in the north-west (thickest) to the flank in the south-east (thinnest). The seismic interpretation of top and base reservoir reflections in both the time and depth domain allow the definition of the thickness trend to be calibrated with well data and extrapolated between them with increased confidence. Furthermore, a thickness trend is observed in seismic attributes (e.g. Amplitude and Sweetness) and in P-impedance from seismic inversion. By performing multivariate analysis on the seismic attributes it is possible to establish a strong relationship between geological process, thickness reduction and seismic response at the field scale. The key finding from reconciling these different types and scales of data was the observation that reservoir thickness is positively correlated to reservoir quality. The presented methodology is a practical solution to estimate reservoir thickness variation and therefore the range of expected reservoir properties using multilinear regression of a combined set of seismic attributes. Quantification of the compaction effect on reservoir thickness reduction and reservoir quality shows a relationship that can be predicted with a sufficient level of confidence. Multiple realizations of expected thickness values are used to define various structural framework realizations within a distribution of equiprobable reservoir property scenarios. The cross validation of direct measurements from core and logs, facilitated the development of a strong geological concept in Oilfield A. The integration of these observations with indirect measurements of density and velocity (impedance) from 3D seismic data enabled the concept to be reconciled field wide. The product has the ability to predict reservoir property distribution field wide using a simple tool (reservoir thickness from 3D seismic) grounded in a detailed understanding of the diagenetic overprint. The ability to generate a validated reservoir property distribution concept allows confident predictability and the anticipation of complex reservoir heterogeneities away from well control using 3D seismic. This tool will be used for efficient well placement, based on robust geomodeling, high confidence well planning and ultimately a more robust Field Development Plan.
Reservoir 2 in Oilfield A shows strong evidence of variable chemical compaction. The south of Reservoir 2 is up to 20% thinner than the north with 50% lower average porosity. Stylolites are more abundant in the south than the north. Fractures are observed in multiple data types associated with stylolites. A stratigraphically-constrained, fractured reservoir concept is essential to understand the higher-than-predicted water cut of production wells on the southern flank of the structure. High quality core is routinely taken in appraisal wells in Oilfield A. A detailed core description was undertaken including recording the precise depth and amplitude of chemical compaction features including stylolites, their associated fractures and their diagenetic cement fill. Core based observations were calibrated to wireline wellbore images (WBI) and from there to logging while drilling (LWD) WBI in horizontal development wells. These data were integrated with information from production logging tool (PLT) runs. As a result it was possible to build a fractured reservoir concept, vertically and laterally constrained by static data and conditioned by dynamic data. In the south of Reservoir 2, Oilfield A, open or partially open Mode 1 fractures are often observed from core observation propagating 5-15cm above and below abundant stylolites. The more compacted, thinner reservoir in the south is also more cemented, more brittle and therefore more susceptible to fracturing than the north. As such, core provides a 1D view of the reservoir. The key uncertainty in developing the fracture concept, is to understand the lateral extent and connectivity of such features. WBI interpretation of stylolite-related fracturing was essential to understand their abundance and orientation in 3D. The connectivity of these features is inferred when combined with PLT and well production data. Core-scale observation, combined with the WBI fracture dataset, was upscaled to the 3D seismic dataset. Acoustic impedance from 3D seismic shows a strong negative correlation with reservoir thickness and porosity. Since stylolite-related fractures are most abundant in the thinnest, lowest porosity part of the reservoir, fractures could be vertically distributed within the reservoir by WBI and laterally distributed by seismic (acoustic impedance) response. Integration of this concept in the dynamic model resulted in a better history match of water cut behaviour in production wells on the southern flank of the structure. Traditionally the role of stylolites in oil reservoirs has focused on their impact reducing permeability and baffling transmissibility, not on increasing them. All oil reservoirs are fractured to a greater or lesser extent and traditionally more focus has been placed on tectonic fractures. Highlighting the role that short, bed bound, stylolite-related fractures play in enhancing permeability is essential in understanding their impact on fluid movement within carbonate reservoirs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.