Subseismic Fault Identification Using the Fault Likelihood Attribute: Application to Geosteering in the DJ Basin

Harris, Ron; Bracken, Kyle; Miller, B. W.; Angelovich, Steve; O’Toole, Thomas B.

doi:10.15530/urtec-2019-602

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy and clarity have improved to the point where it is now able to automatically extract faults from an attribute. Using both manual fault interpretation as a guide and automatic fault extraction algorithms as input, the employment of the fault likelihood attribute occurs within exploratory contexts with the intended purpose of expeditiously generating a comprehensive structural interpretation on a large scale [22]. The fault likelihood characteristic is a number between 0 and 1.…”

Section: Fault Likelihoodmentioning

confidence: 99%

Delineating Plio-Pleistocene channels (gas reservoirs) via seismic attributes in Baltim Gas Field, Nile Delta, Egypt

EL-SAYED,

Mohamed,

Mohsen

2024

Preprint

View full text Add to dashboard Cite

The offshore Nile Delta's Baltim gas fields contain extremely substantial gas condensate accumulations. Therefore, defining Pleistocene reservoirs (El-Wastani formation) and Pliocene reservoirs (Kafr El-Sheikh formation) is the primary objective of this research. A variety of data from five wells, such as gamma-ray, density, neutron, sonic, and resistivity wireline logs. These well logs are put together with seismic data, and a synthetic seismogram is used to find the right gas horizon interpretation for both of anomalies. Using seismic attributes while looking the existing seismic data makes it much easier for interpreters to learn more about the existing geological features. This investigation primarily aims to verify the presence of two potential gas anomalies, first is the structural attributes which include by applying seismic attributes in addition to conventional seismic interpretation. Seismic attributes are significant to ensure the two prospective gas anomalies by applying two different types of seismic attributes. First is the structural attributes which include discontinuity and fault likelihood (FLH), which are very important for fault detection. They are also important for examining the gas leakage to determine if the main fault is fully sealed, partially sealed, or non-sealed. The second is stratigraphic attribute, with different types. In this study, three stratigraphic attributes were applied: sweetness, reflection strength, which is a good tool for gas identification as high sweet points and high reflectivity; also, the third type of attribute is spectral decomposition, which is a good type for channel identification and determine of channel fairway as existence in the second Pliocene anomaly, which reflects the best place for drilling development wells. This study area is illustrated through seismic interpretation of 3D re-processed seismic data collected in 2018 and 5 wells data.

show abstract

Section: Fault Likelihoodmentioning

confidence: 99%

Delineating Plio-Pleistocene channels (gas reservoirs) via seismic attributes in Baltim Gas Field, Nile Delta, Egypt

EL-SAYED,

Mohamed,

Mohsen

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Due to the overall uncertainty, sub-seismic faults characterized by offsets <20 m cannot be properly identified neither by the 3D-seismic data nor from borehole data and laterally delimit thin reservoir layers impacting heat storage potentials and operation (Glubokovskikh et al, 2022). In order to cope with these structural uncertainties, mathematical models have been developed to characterize these faults due to their abundance and importance (Gong et al, 2019;Rotevatn and Fossen, 2011;Harris et al, 2019;Damsleth et al, 1998). Fractal theory is applied to predict the number, strike length and throw of sub-seismic faults by extrapolating the power-law distribution derived from properties of the identified faults (Wang et al, 2018;Hooker et al, 2014;Twiss and Moores, 2006).…”

Section: Greater Geneva Basinmentioning

confidence: 99%

Developing meshing workflows for Geologic Uncertainty Assessment in High-Temperature Aquifer Thermal Energy Storage

Dashti

Grimmer

Geuzaine³

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract. Evaluating uncertainties of geological features on temperature and pressure changes in reservoir’s fluids are crucial for a safe and sustainable operation of the High-Temperature Aquifer Thermal Energy Storage (HT-ATES). This study uses a new automated surface fitting function in Python API of GMSH (v. 4.11) to model the impact of arbitrary structural barriers and variations of roof and floor geometries on temperature and pressure in heat storage application. A workflow is developed in Python to implement an automated mesh generation routine for varying geological scenarios that cannot be predicted by surface-based exploration methods. This way, the geologic models and their underlying uncertainties are transferred into reservoir simulations. We applied our modelling approach on two case studies: 1) Greater Geneva Basin with the Upper Jurassic (“Malm”) limestone reservoir of 100 m thickness and 2) the DeepStor project in the Upper Rhine Graben with an Oligocene sandstone reservoir of 10 m thickness. In the Greater Geneva Basin showcase, the upper and lower surfaces of the reservoir are shifted ± 8 and ± 10 m, respectively to perturb topology of the thick reservoir. Independence of the heat plume from reservoir's topology indicates the limited propagation of the induced thermal regime in thick reservoirs and redundancy of the advanced exploration campaigns like 3D seismic. In DeepStor, an arbitrary sub-seismic fault juxtaposing the permeable sandstone layers against low-permeable clay-marl units is introduced to the base case model. The arbitrary fault is located in distances varying 4 m to 118 m from the borehole and resulted in a ~10 % difference in the pressure field of the cases. Modelling the pressure and temperature in the tilted reservoir reveals that heat tends to accumulate updip while pressure values are higher in the downdip side.

show abstract

“…5 as the MLA. This attribute is widely used to identify strike-slip faults and fractures taking into account the effect of the dip and strike (Harris et al 2019;Ma et al 2019).…”

Section: Maximum Likelihood Attribute (Mla)mentioning

confidence: 99%

Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate Formation, Moxi-Gaoshiti area in Sichuan Basin, South China

Ren

Zhao

et al. 2021

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

Fractures play a vital role in reservoir transformation, but the distribution of faults and fractures is difficult to obtain by observing cores, which ultimately limits the effective development of gas dolomite reservoirs. We propose an integrated method that incorporates thin-section observations, three-dimensional (3D) seismic data, and image logs to interpret the distribution of faults and fractures of Cambrian Longwangmiao Carbonate Formation to predict potential development areas in the Moxi-Gaoshiti area of the Sichuan Basin, South China. Firstly, the faults were well interpreted by using the automatic tracking and 3D visualization technique based on the new seismic combination attribute of symmetry and ant tracking. Secondly, a comprehensive analysis was conducted using the thin sections, paleogeomorphology, and in situ test results to determine the fracture types (corrosion and structural fractures). The results help us to find potential sweet spot zones with good permeabilities, which is of great significance in reducing the risk of water production of drilled wells in the field development.

show abstract

Subseismic Fault Identification Using the Fault Likelihood Attribute: Application to Geosteering in the DJ Basin

Cited by 6 publications

References 0 publications

Delineating Plio-Pleistocene channels (gas reservoirs) via seismic attributes in Baltim Gas Field, Nile Delta, Egypt

Delineating Plio-Pleistocene channels (gas reservoirs) via seismic attributes in Baltim Gas Field, Nile Delta, Egypt

Developing meshing workflows for Geologic Uncertainty Assessment in High-Temperature Aquifer Thermal Energy Storage

Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate Formation, Moxi-Gaoshiti area in Sichuan Basin, South China

Contact Info

Product

Resources

About