The instrumentation of reservoirs and wells using distributed downhole sensor and information-communication systems has enabled significant advances in their management. Examples include monitoring of well integrity and reservoir compaction
The instrumentation of reservoirs and wells using distributed downhole sensor and information-communication systems has enabled significant advances in their management. Examples include monitoring of well integrity and reservoir compaction
Smart Fields are distinguished with two characteristics: Big Data and Real-Time access. A small smart field with only ten wells can generate more than a billion data points every year. This data is streamed in real-time while being stored in data…
The objective of this study was to assess the feasibility of application of analytics techniques in a new heavy oil asset in Kuwait in the following areas: data integration and visualization to support Well, Reservoir and Facility Management (WRFM),…
The objective of this study was to assess the feasibility of application of analytics techniques in a new heavy oil asset in Kuwait in the following areas: data integration and visualization to support Well, Reservoir and Facility Management (WRFM),…
The objective of this study was to assess the feasibility of application of analytics techniques in a new heavy oil asset in Kuwait in the following areas: data integration and visualization to support Well, Reservoir and Facility Management (WRFM),…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide…
Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide…
Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount that an integrated and comprehensive study use all available static and dynamic data including petrophysical, geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount thatan integrated and comprehensive study use all available static and dynamic data including petrophysical,geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount that an integrated and comprehensive study use all available static and dynamic data including petrophysical, geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount thatan integrated and comprehensive study use all available static and dynamic data including petrophysical,geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount that an integrated and comprehensive study use all available static and dynamic data including petrophysical, geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount thatan integrated and comprehensive study use all available static and dynamic data including petrophysical,geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount that an integrated and comprehensive study use all available static and dynamic data including petrophysical, geological, geophysical, engineering,…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount thatan integrated and comprehensive study use all available static and dynamic data including petrophysical,geological, geophysical, engineering,…
In recent years, the application of Big Data technologies and associated analytics has enjoyed significant attention and has seen an enormous growth in the oil industry. This is due to exponential growth of both historical and real-time data being…
Sisi and Nubi (SNB) fields are two adjacent primarily gas fields located 25 km offshore from the modern Mahakam delta These fields are complex from a reservoir management point of view with hundred thousands of Static & dynamic data, and continuously…
Sisi and Nubi (SNB) fields are two adjacent primarily gas fields located 25 km offshore from the modern Mahakam delta These fields are complex from a reservoir management point of view with hundred thousands of Static & dynamic data, and continuously…
A key production measurement is the periodic well testing for both fiscal and reservoir management requirements and a key element is the use of a multiport selector valve (MSV) upstream of a multiphase flow metering (MPFM) system. Typically, an MSV…
A key production measurement is the periodic well testing for both fiscal and reservoir management requirements and a key element is the use of a multiport selector valve (MSV) upstream of a multiphase flow metering (MPFM) system. Typically, an MSV…
Petroleum exploration activities demand the creation of lots of models to represent the uncertainties of a given reservoir, aiming to guide decision-making regarding exploration strategies. As part of these activities, a data assimilation process may…
Petroleum exploration activities demand the creation of lots of models to represent the uncertainties of a given reservoir, aiming to guide decision-making regarding exploration strategies. As part of these activities, a data assimilation process may…
In recent years, there has been a proliferation of massive subsurface data sets from sources such as instrumented wells. This places significant challenges on traditional production-data-analysis methods for extracting useful information in support…
In recent years, there has been a proliferation of massive subsurface data from instrumented wells. This places significant challenges on traditional production data analysis methods for extracting useful information, in support of reservoir…
In recent years, there has been a proliferation of massive subsurface data from instrumented wells. This places significant challenges on traditional production data analysis methods for extracting useful information, in support of reservoir…
In recent years, there has been a proliferation of massive subsurface data sets from sources such as instrumented wells. This places significant challenges on traditional production-data-analysis methods for extracting useful information in support…
In recent years, there has been a proliferation of massive subsurface data from instrumented wells. This places significant challenges on traditional production data analysis methods for extracting useful information, in support of reservoir…
In recent years, there has been a proliferation of massive subsurface data sets from sources such as instrumented wells. This places significant challenges on traditional production-data-analysis methods for extracting useful information in support…
In recent years, there has been a proliferation of massive subsurface data sets from sources such as instrumented wells. This places significant challenges on traditional production-data-analysis methods for extracting useful information in support…
The recent proliferation of subsurface data from instrumented wells has created significant challenges for traditional production-data-analysis methods to extract useful information for reservoir management. This paper demonstrates the viability of a…
The recent proliferation of subsurface data from instrumented wells has created significant challenges for traditional production-data-analysis methods to extract useful information for reservoir management. This paper demonstrates the viability of a…
The recent proliferation of subsurface data from instrumented wells has created significant challenges for traditional production-data-analysis methods to extract useful information for reservoir management. This paper demonstrates the viability of a…
Flow assurance has been a major problem in the development of a heavy oil field. It is not common that this issue has a multiplier effect from reservoir up to processing facilities, reducing productivity and in turn, increasing financial burden. Many…
The decision analysis process to develop a petroleum field can be very complex. This process contemplates a set of tasks, which include the study of various representative scenarios, and different production strategies that aid decision-making.…
An important requirement of reservoir management is to understand the properties of reservoir fluids and dependent phase behaviors. This makes it possible to determine the properties of reservoir fluids in laboratory pressure-volume-temperature (PVT)…
Imperfect determination of petroleum system processes coincidence, entrapment and charge timing, along with reservoir heterogeneity can considerably cause high risks throughout exploration and development phases of petroleum. Therefore, a complete…
Robust inferences on understanding the reservoir heterogeneity and processes of the respective petroleum system are essential to reduce risks throughout the petroleum exploration and development phases. In this paper we present integrated static…
Optimization in the production of oil comprises various processes to measure, analyze, model, prioritize, and implementation to enhance productivity of a field, reservoir, well, or surface. It is a practice to ensure recovery of developed reserves…
Kashagan oil field has been under production since September 2016. The produced oil is associated with considerable amounts of sour gas that must be processed or disposed of while minimizing flaring. This paper will focus on the methodology for field…
The traditional petroleum reservoir modeling workflow for reservoir characterization, history matching, and field development optimization requires a significant amount of computation during reservoir simulation and post-processing. In this work, we…
Under the present conditions of oil and gas production, which are characterized by mature production fields and the focus shifted towards digitalization of production processes and use of machine learning (ML) models, the issues related to the…
Project managements of oil and gas industry involves development of robust system that is able to integrate many skill professionals to work smoothly and together in the said project fields. This process is challenged by the ground reality as project…
Giant carbonate oil fields in Brazilian pre-salt area present a high level of heterogeneity. Despite the fact that geoscientists aim at modelling these complex models in a high-block cell resolution, it is important to reduce the computational effort…