International Petroleum Technology Conference, 2011
As a part of an integrated field development study, comprehensive seismic interpretation, velocit... more As a part of an integrated field development study, comprehensive seismic interpretation, velocity modeling and inversion were carried out for the Minagish Marrat reservoir. The geophysical lithology-porosity effects were imaged and quantified for the first time, and used for detailed reservoir characterization and 3D geological modeling. Recently acquired 3D PSTM seismic data was used to interpret and refine the key horizons over the Minagish field. The multi-attribute analysis was used to quality control the horizon picking and to interpret the faults accurately, particularly since the data was contaminated with multiples. Advanced post-stack attribute analysis provided insights into the faults, fractures and matrix properties of the heterogeneous carbonate sequences to understand the reservoir architecture at all scales. Several velocity modeling scenarios with combination of wells and seismic velocity were evaluated to investigate the structural uncertainty for accurate depth co...
4th IEEE International Conference on Digital Ecosystems and Technologies, 2010
Petroleum system and its ingredients are narrated for each and every oil and gas field in each an... more Petroleum system and its ingredients are narrated for each and every oil and gas field in each and every petroleum-bearing sedimentary basin. A new concept of ecosystem and its digitization are emerging within the generic petroleum system. Significance of this concept is to make connectivity among petroleum systems through attributes of ingredients and their contextualization and specification. Most popularly known ingredients are geological structure, reservoir, source and seal rocks. Other ingredients involved are in the form of process of these ingredients such as maturation (of source rocks) and migration and timing (of formation of structure, reservoir and seal rocks). One can notice the connectivity among primary petroleum system ingredients, through different processes, such as maturation of source rocks and charging capability and migration of hydrocarbons into suitable structural (structure) entrapment areas of reservoir. Unless the phenomenon of interconnectivity is understood; integration between ingredients and processes in the context of digital representation and visualization, petroleum system existence and its survival cannot be well explained. Its value cannot be added in terms of petroleum accumulations and volumes, unless these phenomena are explicit. Authors propose ontology based data warehousing and data mining technologies, in which, conceptualization and contextualization of multiple data dimensions (petroleum system's ingredients and processes), integration (within data warehouse environment) and data mining of interpretable emerging petroleum digital ecosystems are accomplished. Multidimensional data warehousing and mining facilitate an effective interpretation of petroleum systems, minimizing the ambiguities involved during structure and reservoir qualifications and quantifications.
SEG Technical Program Expanded Abstracts 2012, 2012
Summary Characterizing carbonate reservoirs through seismic data is a challenge due to high level... more Summary Characterizing carbonate reservoirs through seismic data is a challenge due to high level of heterogeneity and secondary porosity. This becomes further complicated in deep reservoirs with seismic data contaminated with interbed multiples, a common phenomenon in the Middle East datasets. To address this issue, a high resolution 3DVSP dataset in one of the deep wells of Kuwait was acquired and optimally processed to extract the reservoir scale information. This data was compared with the corresponding surface seismic data. Quantitative interpretation workflow consisting of rock physics analysis and seismic inversion was applied on this dataset to improve the reservoir characterization, facies and structural definition in the vicinity of the wellbore. This paper presents the workflow adopted and the improved imaging of reservoir properties through the 3DVSP dataset.
SEG Technical Program Expanded Abstracts 2012, 2012
Summary: A major field development project, targeted on the deep carbonate reservoirs in the nort... more Summary: A major field development project, targeted on the deep carbonate reservoirs in the northern part of Kuwait has recently been initiated. Accessing these deep reservoirs involves drilling through a series of alternating saltanhydrite HP/HT section, locally known as Gotnia Formation. This Gotnia Formation, with varying thickness of 170 to 800ft, is immediately above the reservoir section and acts as the regional cap. This formation is a major drilling hazard due to extreme drilling environment. Proper sub-surface characterization of this overburden formation is vital to achieve drilling efficiency for these deep wells. Rapidly varying nature of this formation coupled with limited sub-surface data makes the characterization of this section a challenge. This paper addresses the methodology adopted in mapping these difficult sequences and understanding the layer architecture, through a systematic integration of well and seismic data. We also describe how post stack seismic attributes helped in identifying potential drilling hazards in this overburden formation.
4th IEEE International Conference on Digital Ecosystems and Technologies, 2010
Data integration of multiple heterogeneous datasets from multidimensional petroleum digital ecosy... more Data integration of multiple heterogeneous datasets from multidimensional petroleum digital ecosystems is an effective way, for extracting information and adding value to knowledge domain from multiple producing onshore and offshore basins. At present, data from multiple basins are scattered and unusable for data integration, because of scale and format differences. Ontology based warehousing and mining modeling are recommended for resolving the issues of scaling and formatting of multidimensional datasets, in which case, seismic and well-domain datasets are described. Issues, such as semantics among different data dimensions and their associated attributes are also addressed by Ontology modeling. Intelligent relationships are built among several petroleum system domains (structure, reservoir, source and seal, for example) at global scale and facilitated the integration process among multiple dimensions in a data warehouse environment. For this purpose, integrated workflows are designed for capturing and modeling unknown relationships among petroleum system data attributes in interpretable knowledge domains. This study is an effective approach in mining and interpreting data views drawn from warehoused exploration and production metadata, with special reference to Arabian onshore and offshore basins
International Petroleum Technology Conference, 2014
This paper presents a new structural model for the North Kuwait Carbonate fields as well as its i... more This paper presents a new structural model for the North Kuwait Carbonate fields as well as its implications in term of fracture modelling and field development. It also describes a workflow which can be used as foundation for further fracture modelling study at production and exploration scales alike. This workflow consists of a four step approach: elaboration of a regional structural model,creation of 3D conceptual fracture diagrams,elaboration of constraints capturing the key elements of the conceptual diagrams andcreation of fracture model properties for further dynamic simulation. The application of this workflow resulted in the creation of a series of fracture models for the North Kuwait Carbonates fields. During the first step of the study, a new structural model has been elaborated based on key kinematic observations from well and seismic data, as well as experimental and field analogues which have been linked to the known regional phases of deformation. These main phases of...
International Petroleum Technology Conference, 2011
As a part of an integrated field development study, comprehensive seismic interpretation, velocit... more As a part of an integrated field development study, comprehensive seismic interpretation, velocity modeling and inversion were carried out for the Minagish Marrat reservoir. The geophysical lithology-porosity effects were imaged and quantified for the first time, and used for detailed reservoir characterization and 3D geological modeling. Recently acquired 3D PSTM seismic data was used to interpret and refine the key horizons over the Minagish field. The multi-attribute analysis was used to quality control the horizon picking and to interpret the faults accurately, particularly since the data was contaminated with multiples. Advanced post-stack attribute analysis provided insights into the faults, fractures and matrix properties of the heterogeneous carbonate sequences to understand the reservoir architecture at all scales. Several velocity modeling scenarios with combination of wells and seismic velocity were evaluated to investigate the structural uncertainty for accurate depth co...
4th IEEE International Conference on Digital Ecosystems and Technologies, 2010
Petroleum system and its ingredients are narrated for each and every oil and gas field in each an... more Petroleum system and its ingredients are narrated for each and every oil and gas field in each and every petroleum-bearing sedimentary basin. A new concept of ecosystem and its digitization are emerging within the generic petroleum system. Significance of this concept is to make connectivity among petroleum systems through attributes of ingredients and their contextualization and specification. Most popularly known ingredients are geological structure, reservoir, source and seal rocks. Other ingredients involved are in the form of process of these ingredients such as maturation (of source rocks) and migration and timing (of formation of structure, reservoir and seal rocks). One can notice the connectivity among primary petroleum system ingredients, through different processes, such as maturation of source rocks and charging capability and migration of hydrocarbons into suitable structural (structure) entrapment areas of reservoir. Unless the phenomenon of interconnectivity is understood; integration between ingredients and processes in the context of digital representation and visualization, petroleum system existence and its survival cannot be well explained. Its value cannot be added in terms of petroleum accumulations and volumes, unless these phenomena are explicit. Authors propose ontology based data warehousing and data mining technologies, in which, conceptualization and contextualization of multiple data dimensions (petroleum system's ingredients and processes), integration (within data warehouse environment) and data mining of interpretable emerging petroleum digital ecosystems are accomplished. Multidimensional data warehousing and mining facilitate an effective interpretation of petroleum systems, minimizing the ambiguities involved during structure and reservoir qualifications and quantifications.
SEG Technical Program Expanded Abstracts 2012, 2012
Summary Characterizing carbonate reservoirs through seismic data is a challenge due to high level... more Summary Characterizing carbonate reservoirs through seismic data is a challenge due to high level of heterogeneity and secondary porosity. This becomes further complicated in deep reservoirs with seismic data contaminated with interbed multiples, a common phenomenon in the Middle East datasets. To address this issue, a high resolution 3DVSP dataset in one of the deep wells of Kuwait was acquired and optimally processed to extract the reservoir scale information. This data was compared with the corresponding surface seismic data. Quantitative interpretation workflow consisting of rock physics analysis and seismic inversion was applied on this dataset to improve the reservoir characterization, facies and structural definition in the vicinity of the wellbore. This paper presents the workflow adopted and the improved imaging of reservoir properties through the 3DVSP dataset.
SEG Technical Program Expanded Abstracts 2012, 2012
Summary: A major field development project, targeted on the deep carbonate reservoirs in the nort... more Summary: A major field development project, targeted on the deep carbonate reservoirs in the northern part of Kuwait has recently been initiated. Accessing these deep reservoirs involves drilling through a series of alternating saltanhydrite HP/HT section, locally known as Gotnia Formation. This Gotnia Formation, with varying thickness of 170 to 800ft, is immediately above the reservoir section and acts as the regional cap. This formation is a major drilling hazard due to extreme drilling environment. Proper sub-surface characterization of this overburden formation is vital to achieve drilling efficiency for these deep wells. Rapidly varying nature of this formation coupled with limited sub-surface data makes the characterization of this section a challenge. This paper addresses the methodology adopted in mapping these difficult sequences and understanding the layer architecture, through a systematic integration of well and seismic data. We also describe how post stack seismic attributes helped in identifying potential drilling hazards in this overburden formation.
4th IEEE International Conference on Digital Ecosystems and Technologies, 2010
Data integration of multiple heterogeneous datasets from multidimensional petroleum digital ecosy... more Data integration of multiple heterogeneous datasets from multidimensional petroleum digital ecosystems is an effective way, for extracting information and adding value to knowledge domain from multiple producing onshore and offshore basins. At present, data from multiple basins are scattered and unusable for data integration, because of scale and format differences. Ontology based warehousing and mining modeling are recommended for resolving the issues of scaling and formatting of multidimensional datasets, in which case, seismic and well-domain datasets are described. Issues, such as semantics among different data dimensions and their associated attributes are also addressed by Ontology modeling. Intelligent relationships are built among several petroleum system domains (structure, reservoir, source and seal, for example) at global scale and facilitated the integration process among multiple dimensions in a data warehouse environment. For this purpose, integrated workflows are designed for capturing and modeling unknown relationships among petroleum system data attributes in interpretable knowledge domains. This study is an effective approach in mining and interpreting data views drawn from warehoused exploration and production metadata, with special reference to Arabian onshore and offshore basins
International Petroleum Technology Conference, 2014
This paper presents a new structural model for the North Kuwait Carbonate fields as well as its i... more This paper presents a new structural model for the North Kuwait Carbonate fields as well as its implications in term of fracture modelling and field development. It also describes a workflow which can be used as foundation for further fracture modelling study at production and exploration scales alike. This workflow consists of a four step approach: elaboration of a regional structural model,creation of 3D conceptual fracture diagrams,elaboration of constraints capturing the key elements of the conceptual diagrams andcreation of fracture model properties for further dynamic simulation. The application of this workflow resulted in the creation of a series of fracture models for the North Kuwait Carbonates fields. During the first step of the study, a new structural model has been elaborated based on key kinematic observations from well and seismic data, as well as experimental and field analogues which have been linked to the known regional phases of deformation. These main phases of...
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Papers by KAMRAN LAIQ