Invasion Corrected Fluid Saturations, from Standalone Consonant Nuclear Measurements, Using Canonical-Correlation Analysis (CCA) of Logging-While-Drilling (LWD) Time-Lapse Data

Al-Daghar, Khadeeja A.; Atfeh, Mudar; Aal, Atef Farouk Abdel; Jain, Vikas; Murray, Doug; Minh, Chanh Cao; Gzara, Kais

doi:10.2118/172540-ms

Cited by 2 publications

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References 4 publications

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“…This workflow has been extended further to include non-consonant measurements (Al- Daghar et al 2015) and provide a number of other useful quantities, including, but not limited to, invasion-independent variates or hybrid measurements and moveable fluid types and volumes, as described in (Kraishan et al 2014;Fakolujo et al 2014aFakolujo et al , 2014b.…”

Section: Time-lapse Acquisition and Analysis Of Lwd Datamentioning

confidence: 99%

Maximizing Information through Data Driven Analytics in Petrophysical Evaluation of Well Logs

Jain

Gzara

Makarychev

et al. 2015

Day 3 Wed, September 30, 2015

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Modern logging data are characterized by abundance and multiple dimensions: spatial, temporal, and physical. Traditional interpretation workflows for logging data are often limited in their scope and flexibility and use only a subset of the data dimensions, either by choice or necessity. Furthermore, the various deterministic or stochastic workflows typically rely on preconceived rock and fluid models. When those a priori models do not fit the data, confusion can ensue, whereas it is obvious that the correct model is buried somewhere in the "big logging data."To overcome these limitations, new symbiotic approaches using domain expertise and data analytics ("domain-analytics") have been developed. Domain experts use those novel approaches to develop data-driven workflows to explore and mine complex logging datasets for latent but interpretable information. Once validated to be idempotent, the expert workflows that respect both the acquired data and domain knowledge can be packaged into new classes of answers products.In this paper, the novel approaches, along with the examples of new answer products, are presented. These include 1) the automated spatial search for common modes and repeated patterns in the single or multi-well nuclear magnetic resonance (NMR) data, 2) the generation of a data-driven fluid model using time-lapse logging data acquired during multiple passes over the same formation, and 3) the creation of interpretive class-based models using definitive core data that could be propagated to continuous log data for a richer petrophysical interpretation. Big Logging DataRock formations are discontinuous, heterogeneous, anisotropic media resulting from a long and often complex geological history. To understand and quantify the underlying rock matrix and fluid distribution, petrophysicists derive various quantities of interest (Q) such as lithology, pore-size distribution, fluid characteristics, and volumetrics from a number of log measurements (M), as shown in Fig. 1. Those log measurements (M) are the direct transform (g) of acquired physical data (A), whereas the transforms (h) of subsurface quantities from log measurements are mostly empirical and/or model based.Transforms between log measurements and petrophysical quantities are not only difficult to establish but are also limited in scope. Difficulty lies in the fact that most of these relationships are empirical, created by fitting observed results and measured properties in laboratories using cores and fluid samples.

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Section: Time-lapse Acquisition and Analysis Of Lwd Datamentioning

confidence: 99%

Maximizing Information through Data Driven Analytics in Petrophysical Evaluation of Well Logs

Jain

Gzara

Makarychev

et al. 2015

Day 3 Wed, September 30, 2015

Self Cite

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Resolving Water Saturation Uncertainty in a Thin Oil Rim Reservoir, Using Sigma While Drilling, Case Study from Onshore Abu Dhabi

Syofyan

Latief

Amoudi

et al. 2017

Day 2 Tue, November 14, 2017

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Objectives This study focuses on resolving the water saturation (Sw) uncertainty in a small oil rim that consist of thin high-permeability layers (super K). Resistivity-based water saturation techniques suffer from multiple uncertainties including thin layers with distinct capillarity profile, inaccurate resistivity due to high-angle bed effects and unknown Archie parameters. Accurate saturation using alternate methods than resistivity based is critical for the calibration of saturation height model for reserve estimate and to design the perforation program away from the mobile water zone. Methods To resolve the issue of accurate Sw, an alternate method of computing saturation from sigma measurements while drilling is being investigated. Data from multiple wells has been analyzed- saturation from sigma being computed and compared to resistivity based saturation. The resulting saturation is benchmarked against other known sources of saturation like core data and cased-hole measurements. The input parameters used to compute the sigma-based saturation were validated by well test and PVT lab data. Observations A general assumption for LWD logs is that invasion is so shallow that LWD data acquired during drilling may be sufficient to evaluate uninvaded zone properties However, this premise need to be confirmed by other sources of information, in this case Multi-Depth of Investigation (MDOI) sigma data. It provides valuable insight into the status of formation invasion, at the time of acquiring data and of measurement quality control. In situations where the resistivity data does not suffer from any high-angle bed effects, there is immense value in combining the information from resistivity and sigma. When there are two measurements free from invasion and reading the same volume of rock, this can be used for not only calculating water saturations but also to fine-tune the Archie parameters, which might be of immense value in situations, for use on offset wells with resistivity data only. Novel Information Sigma while drilling is another weapon in the arsenal of the petrophysicist and the multi-depth of investigation sigma measurements in a LWD environment contributes a new opportunity to evaluate fluid saturations in reservoirs with unknown or variable Archie parameters.

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Invasion Corrected Fluid Saturations, from Standalone Consonant Nuclear Measurements, Using Canonical-Correlation Analysis (CCA) of Logging-While-Drilling (LWD) Time-Lapse Data

Cited by 2 publications

References 4 publications

Maximizing Information through Data Driven Analytics in Petrophysical Evaluation of Well Logs

Maximizing Information through Data Driven Analytics in Petrophysical Evaluation of Well Logs

Resolving Water Saturation Uncertainty in a Thin Oil Rim Reservoir, Using Sigma While Drilling, Case Study from Onshore Abu Dhabi

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