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Exploration and development drilling in offshore China is extending to Paleogene formations that are characterized by low-resistivity-contrast and low-permeability rocks. These formations have become a focus for increasing reserves and production. During exploration activities, these low-resistivity, low-formation-contrast formations have been critical and challenging for formation evaluation because the geological structure and lithology are more complex than in previously discovered fields. Differentiating hydrocarbon from water using petrophysical interpretation has a large uncertainty in these formations. Confirming the fluid type using conventional formation testing technology has been extremely challenging because the produced fluid is mainly mud filtrate, which is of no use for fluid confirmation. The dual-flowline architecture of the intelligent formation testing platform (IFT) is designed to systematically address shortcomings of legacy technology, enabling focused sampling in the tightest conventional formations. Specialized digital planning of the numerical flow models by adding a brine tracking facility and enumeration initialization was performed to (a) compare and benchmark the cleanup performance of conventional radial 3D probe and new focus radial probe; (b) simulate multiple scenarios including hydrocarbon-water transition to understand the salinity changes while pumping in various water saturation circumstance and optimize operational planning by quantifying cleanup time uncertainties even in two-phase fluid reservoir; and (c) history match the sampling drawdown, flow rate, and salinity change with actual sampling data and provide real-time answers to help accelerate the decision-making cycle. This dedicated design resulted in increased efficiency in water sampling compared to previous testing done by the operator. Whereas previous gas-water transition zone sampling was challenging because high water-based mud filtrate fractions masked the presence of formation water and formation hydrocarbon, the focused radial probe, combined with state-of-the-art resistivity measurements and prejob modeling of salinity change, allowed identification of gas and the measurement of formation water resistivity in a multiphase flow environment. The formation testing of these low-resistivity-contrast and low-permeability formations enabled acquisition of a 2% contaminated formation water sample in 140 minutes with formation mobility of 1 md/cP. The gas-water zone was confirmed from a dual-flowline resistivity measurement and a hydrocarbon show in mobility of 1.4 md/cP. The intelligent wireline formation testing platform enabled high-performance and efficient collection and identification of formation water and gas in a low-mobility low-resistivity-low-contrast formation.
Exploration and development drilling in offshore China is extending to Paleogene formations that are characterized by low-resistivity-contrast and low-permeability rocks. These formations have become a focus for increasing reserves and production. During exploration activities, these low-resistivity, low-formation-contrast formations have been critical and challenging for formation evaluation because the geological structure and lithology are more complex than in previously discovered fields. Differentiating hydrocarbon from water using petrophysical interpretation has a large uncertainty in these formations. Confirming the fluid type using conventional formation testing technology has been extremely challenging because the produced fluid is mainly mud filtrate, which is of no use for fluid confirmation. The dual-flowline architecture of the intelligent formation testing platform (IFT) is designed to systematically address shortcomings of legacy technology, enabling focused sampling in the tightest conventional formations. Specialized digital planning of the numerical flow models by adding a brine tracking facility and enumeration initialization was performed to (a) compare and benchmark the cleanup performance of conventional radial 3D probe and new focus radial probe; (b) simulate multiple scenarios including hydrocarbon-water transition to understand the salinity changes while pumping in various water saturation circumstance and optimize operational planning by quantifying cleanup time uncertainties even in two-phase fluid reservoir; and (c) history match the sampling drawdown, flow rate, and salinity change with actual sampling data and provide real-time answers to help accelerate the decision-making cycle. This dedicated design resulted in increased efficiency in water sampling compared to previous testing done by the operator. Whereas previous gas-water transition zone sampling was challenging because high water-based mud filtrate fractions masked the presence of formation water and formation hydrocarbon, the focused radial probe, combined with state-of-the-art resistivity measurements and prejob modeling of salinity change, allowed identification of gas and the measurement of formation water resistivity in a multiphase flow environment. The formation testing of these low-resistivity-contrast and low-permeability formations enabled acquisition of a 2% contaminated formation water sample in 140 minutes with formation mobility of 1 md/cP. The gas-water zone was confirmed from a dual-flowline resistivity measurement and a hydrocarbon show in mobility of 1.4 md/cP. The intelligent wireline formation testing platform enabled high-performance and efficient collection and identification of formation water and gas in a low-mobility low-resistivity-low-contrast formation.
In the past ten years, companies have started to show more interest in accurately quantifying nonhydrocarbon components (impurities) such as carbon dioxide (CO2), mercury, and hydrogen sulfide (H2S), to help design their surface facilities and separators at an early design stage, in addition to meeting the requirements related to various gas sale agreements and regulations on health, safety, and environment (HSE). Simultaneously, it has been a challenging to accurately estimate these impurities, especially at low-level contents. In this paper we will discuss the complete process of downhole sampling techniques using an advanced wireline formation tester (FT), from pre-job planning, real time monitoring, and sampling, including results comparison between pressure-volume-temperature (PVT) laboratory analysis and testing at a larger scale. The objectives are to obtain a high-quality PVT sample, and accurately quantify low contents of CO2, H2S (around or less than 10 ppm), and mercury (around or less than 5 µg/m3) from the collected reservoir fluids. This paper presents three case studies from Southeast Asia region. Downhole reservoir fluid sampling method using FT is not a new subject in the oil and gas industry. However, a breakthrough in the FT sampling technique came about in 2005, when a focused sampling probe was introduced that significantly lowered the contamination values achievable in downhole sampling. In addition, the ability of sensor advancements to do real time monitoring to achieve low-level contamination during downhole reservoir sampling also played an important role in ensuring high-quality samples were collected. A close to 0% contamination from mud filtrate (oil or water-based mud) is now a target when obtaining a representative reservoir fluid sample to properly quantify these low-level impurities content. Coupled with the latest development in downhole fluid analyzer (DFA), reservoir fluid properties such as the gas/oil ratio (GOR), in-situ density, and composition (C1, C2, C3-5, C6+, and CO2) can also be measured at downhole conditions in real time. These have the added benefit of optimizing operational decision-making, thus minimizing the sample time per station, leading to rig time-savings. In this paper we will use examples from several fields in Southeast Asia region. The prejob planning consisting of numerical simulation will present the best probe type, expected pumping time, and volume, and selection on DFA tool to help monitoring RT sampling operation to achieve downhole fluid sampling objectives. The challenges to sample each impurity component, best practices, lessons learned, and comparison of real time results to actual PVT analyses; will also be discussed. Finally, there are limited resources or papers that have been published in the industry that fully describes this end-to-end process, including showing a combination of different cases for multiple impurities. We provide insight into the process of accurately obtaining representative high-quality PVT samples including their impurities for better reservoir characterization.
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