scholarly journals A High Resolution 3D Geomodel for Giant Carbonate Reservoir- A Field Case Study from an Iraqi Oil Field

2019 ◽  
Vol 26 (1) ◽  
pp. 160-173
Author(s):  
Wisam I. Taher Al-Rubaye ◽  
Sameera Mohammed Hamd-Allah
Keyword(s):  
High Resolution ◽  
Scale Up ◽  
Vertical Direction ◽  
Carbonate Reservoir ◽  
Oil Field ◽  
Sequential Gaussian Simulation ◽  
Grid Cells ◽  
Volume Assessment ◽  
Gaussian Simulation

Constructing a fine 3D geomodel for complex giant reservoir is a crucial task for hydrocarbon volume assessment and guiding for optimal development. The case under study is Mishrif reservoir of Halfaya oil field, which is an Iraqi giant carbonate reservoir. Mishrif mainly consists of limestone rocks which belong to Late Cenomanian age. The average gross thickness of formation is about 400m. In this paper, a high-resolution 3D geological model has been built using Petrel software that can be utilized as input for dynamic simulation. The model is constructed based on geological, geophysical, pertophysical and engineering data from about 60 available wells to characterize the structural, stratigraphic, and properties distribution along the reservoir. Fourteen geological surfaces for all Mishrif units have been generated based on well tops data and top Mishrif structural map. The reservoir has been divided into 163 sublayers through the vertical direction and 160*383 grid cells in x-y direction with 9,988,640 total grid cells. A scale up process are performed for well log data, then, Sequential Gaussian Simulation algorithm are applied to fill 3D grid cells with properties values in areas away from wells. Pertophysical properties distribution for all reservoir zones are analyzed. The estimated initial oil in place of Mishrif through this model is close to that calculated in other previous studies.  

First microseismic monitoring results for a Middle East carbonate reservoir: Minagish oil field case study, western Kuwait

2008 ◽  
Author(s):  
Emmanuel Gaucher ◽  
Christophe C. Maisons ◽  
Abdullatif Y. Al-Kandari ◽  
Kamal Al-Atroshi and Jassim M. Al-Kanderi
Keyword(s):  
Middle East ◽  
Microseismic Monitoring ◽  
Carbonate Reservoir ◽  
Oil Field ◽  
Field Case

Prediction of a fracture-cavern system in a carbonate reservoir: A case study from Tahe oil field, China

2006 ◽  
Vol 25 (11) ◽  
pp. 1396-1400 ◽  
Author(s):  
Luping Guan ◽  
Shixing Wang ◽  
Hailong Zhu
Keyword(s):  
Carbonate Reservoir ◽  
Oil Field ◽  
Tahe Oil Field

Fractured carbonate reservoir characterization and modelling: a multidisciplinary case study from the Cavone oil field, Italy

First Break ◽  
1991 ◽  
Vol 9 (1250) ◽  
Author(s):  
S. Nardon ◽  
D. Marzorati ◽  
A. Bernasconi ◽  
S. Cornini ◽  
M. Gonfalini ◽  
...  
Keyword(s):  
Reservoir Characterization ◽  
Carbonate Reservoir ◽  
Oil Field ◽  
Fractured Carbonate ◽  
Carbonate Reservoir Characterization

Comprehensive Fracture Characterization in Tight Carbonate Reservoir Using LWD High-Resolution Image and Multi-Pole Sonic Measurement; A Case Study from Offshore North West Java, Indonesia

2021 ◽  
Author(s):  
Debby Irawan ◽  
Icuk Dwi Wibowo ◽  
Bertha Martinauly ◽  
Linda Fransiska ◽  
Leonora Ludwina Lilasari ◽  
...  
Keyword(s):  
High Resolution ◽  
Open Fracture ◽  
Carbonate Reservoir ◽  
Fracture Zones ◽  
Closed Fracture ◽  
Fracture Characterization ◽  
North West ◽  
Tight Carbonate ◽  
Resistivity Log

Abstract Tapping into an unconventional reservoir such as naturally fractured tight carbonate or basement has become more common in the industry. Open natural fractures, when present are the major contributor to production flow in such formation. Therefore, a comprehensive understanding of fracture properties including aperture, intensity, and permeability is required to identify the productive fractures and optimize production. In this paper, we discuss the first application of the latest Logging-While Drilling (LWD) high-resolution laterolog resistivity image in combination with LWD multi-pole sonic to provide comprehensive fracture characterization in Pre-Talang Akar Formation tight carbonate reservoir, in the offshore North West Java Basin, Indonesia. The methodology involved identification of borehole breakouts, natural or drilling-induced fractures, faults and vugs from the high-resolution LWD image data, which were then interpreted further to provide the fracture attributes and the secondary porosity distributions from each of the identified features. The Stoneley measurement from LWD multi-pole sonic log enabled the analysis of the fracture system producibility using the sonic fracture technique. The characterization of fractures and faults (open/closed) from the integration of these two independent methods were complemented by the triple combo measurements, caliper, and drilling loss data, as well as sonic compressional and shear data. This methodology has successfully managed to differentiate open fracture zones and closed fracture zones along with their computed fracture properties. The open fracture zones were characterized by a cluster of conductive fractures with large fracture aperture and fracture porosity value. These fractures were also associated with positive fracture indication from the sonic data, decrease in density logs, shallow - deep resistivity log separation and drilling loss occurrence. Whereas, closed fracture zones were characterized with minor fracture dip development. It also showed negative open fracture indication from sonic data, flat density log response and overlaying resistivity log response with no drilling loss occurrence. The case study in this paper shows excellent LWD data quality and fracture characterization result, on par with wireline conveyed data that were commonly used to quantify fracture attributes. The results provide invaluable information for volumetric calculation, well completion and production planning in this area.

scholarly journals A novel downscaling procedure for compositional data in the Aitchison geometry with application to soil texture data

2020 ◽  
Author(s):  
Federico Gatti ◽  
Alessandra Menafoglio ◽  
Niccolò Togni ◽  
Luca Bonaventura ◽  
Davide Brambilla ◽  
...  
Keyword(s):  
Compositional Data ◽  
State Of The Art ◽  
Sequential Gaussian Simulation ◽  
Soil Maps ◽  
Simulation Framework ◽  
Aitchison Geometry ◽  
Realistic Case ◽  
Gaussian Simulation ◽  
Digital Soil Maps

Abstract In this work, we present a novel downscaling procedure for compositional quantities based on the Aitchison geometry. The method is able to naturally consider compositional constraints, i.e. unit-sum and positivity, accounting for the scale invariance and relative scale of these data. We show that the method can be used in a block sequential Gaussian simulation framework in order to assess the variability of downscaled quantities. Finally, to validate the method, we test it first in an idealized scenario and then apply it for the downscaling of digital soil maps on a more realistic case study. The digital soil maps for the realistic case study are obtained from SoilGrids, a system for automated soil mapping based on state-of-the-art spatial predictions methods.

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