The Wisting Discovery - Integrating Acoustic Measurements at Different Scales

Veire, Helene Hafslund; Granli, J.R.; Berger, Pia; Lewis, O.; Hohner, M.; Kvist-Lassen, T.; Smith, P.D.; Stuberg, L.

doi:10.3997/2214-4609.201601552

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two key challenges with the current wide tow 3D seismic are worth mentioning: Being shallow and even above the first seabed multiple is good, but also very challenging for AVO analysis due to low fold and very poor angle sampling across small angle bins. We have also found that the Poisson ratio estimated from wireline is difficult to match with the seismic data, possibly due to frequency dispersion, caused by micro-fracturing (see Veire et al, 2016).…”

Section: Introductionmentioning

confidence: 96%

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Granli¹,

Veire²,

Gabrielsen

et al. 2017

SEG Technical Program Expanded Abstracts 2017

View full text Add to dashboard Cite

In this paper we describe the highlights from a wide range of CSEM applications and developments in the Wisting area. At an initial stage, by including higher frequencies in 3D CSEM inversion at Wisting, we realized that our CSEM data contained a lot more detailed information about reservoir properties than earlier anticipated. Beyond the traditional application of predicting high vs. low hydrocarbon saturation, the CSEM data are used for estimation of hydrocarbon column and is starting to be used in estimation of reservoir heterogeneity and even connectivity. Our quantitative workflows are still maturing and are expected to provide future value. At Wisting we have been fortunate to be in an active appraisal setting where new wells have repeatedly provided calibration and adjustment to our CSEM workflows. During almost four years we have acquired two field-scale tailored 3D CSEM surveys with gradually denser spatial sampling and higher frequencies. These have provided higher accuracy and better spatial resolution than the conventional coarse-grid survey design used in multi-client projects. Our project work has been highly cross-disciplinary, where CSEM expertise paired with specialists in rock physics, seismic AVO and geology has worked very well. Our ability to operate as one team across company barriers is a key success factor with learning, re-learning and geoscience integration as main ingredients.

show abstract

Section: Introductionmentioning

confidence: 96%

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Granli¹,

Veire²,

Gabrielsen

et al. 2017

SEG Technical Program Expanded Abstracts 2017

View full text Add to dashboard Cite

show abstract

Seismic methods for fluid discrimination in areas with complex geologic history — A case example from the Barents Sea

Lehocki¹,

Avseth

Mondol

2020

Interpretation

View full text Add to dashboard Cite

We have developed a new scheme for calculation of density ratio, an attribute that can be directly linked to hydrocarbon saturation, and applied it to seismic amplitude variation with offset (AVO) data from the Hoop area in the Barents Sea. The approach is based on the inversion of Zoeppritz’s equation for PP-wave. Furthermore, by using interval velocities, we quantified uplift magnitude for a given interval beneath Base Cretaceous unconformity (BCU) horizon in the Hoop area. Depending on the temperature gradient, the maximum burial depth can be estimated, a crucial factor affecting the elastic properties of the rocks. Coupling uplift map with temperature history for key stratigraphic units from basin modeling enabled us to extend the training data away from well control. By doing so, we created nonstationary AVO probability density functions (PDFs) for calibration and classification of seismic attributes in the test area. This decreases the likelihood of misclassification of pore fluid type as opposed to the case where the training data are created based only on sparse well-log data. We tested and compared the methods on the Barents Sea seismic data set, and the results were validated at four well locations. Finally, maps of fluid distribution obtained from stochastic rock-physics modeling honoring burial history were compared against the density ratio map. Four maps revealed the same anomalous zones, the major difference being the detection of the down-flank presence of oil associated with some of the predicted gas anomalies in the prospect area, in the case of density ratio map. Possible gas caps were detected/predicted only for certain temperature constraints during the AVO classifications and were most obvious in the density ratio map.

show abstract

Interpretation II Complete Session

2017

SEG Technical Program Expanded Abstracts 2017

View full text Add to dashboard Cite

The Wisting Discovery - Integrating Acoustic Measurements at Different Scales

Cited by 3 publications

References 0 publications

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Maturing broadband 3D CSEM for improved reservoir property prediction in the Realgrunnen Group at Wisting, Barents Sea

Seismic methods for fluid discrimination in areas with complex geologic history — A case example from the Barents Sea

Interpretation II Complete Session

Contact Info

Product

Resources

About