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High-frequency dielectric dispersion has been shown to be sensitive to the water volume, the water salinity, and the water tortuosity within the pore space. Dielectric dispersion data can be inverted to estimate water saturation in conditions where the interpretation of resistivity with traditional saturation equations is problematic, such as low and variable water salinities, complex texture, and unknown wettability. There is, however, a recognized limitation: salinity can be estimated only in the low to medium range. Above about 60 ppk, water salinity, which influences the estimated water volume, must be fixed in the dielectric interpretation. The thermal neutron capture cross-section (sigma) measurement primarily responds to the volume and salinity of the water that is present in the region of the formation seen by the tool. It provides an excellent complement to dielectric measurements for several reasons. Sigma is highly sensitive to the salinity of the water phase, particularly at high salinities. Both sigma and dielectric measurements have a similar volume of investigation and so can be interpreted in a joint inversion. We developed a joint inversion of dielectric dispersion and neutron sigma measurements that solves for the water volume, water salinity, and tortuosity of the water phase. The addition of neutron sigma to the dielectric dispersion measurements extends the interpretation to high-salinity conditions, and enables the capability of quantifying water salinity in conditions where this was previously not possible. We illustrate the benefits of this joint inversion on some log examples. In a well drilled with water-based mud and fully invaded, the inversion provides a robust estimate of filtrate salinity even for highly saline filtrate and reduces the uncertainty on the estimated residual hydrocarbon. In the case of oil-based mud invasion, the method quantifies the salinity of the formation water even for moderately to highly saline water.
High-frequency dielectric dispersion has been shown to be sensitive to the water volume, the water salinity, and the water tortuosity within the pore space. Dielectric dispersion data can be inverted to estimate water saturation in conditions where the interpretation of resistivity with traditional saturation equations is problematic, such as low and variable water salinities, complex texture, and unknown wettability. There is, however, a recognized limitation: salinity can be estimated only in the low to medium range. Above about 60 ppk, water salinity, which influences the estimated water volume, must be fixed in the dielectric interpretation. The thermal neutron capture cross-section (sigma) measurement primarily responds to the volume and salinity of the water that is present in the region of the formation seen by the tool. It provides an excellent complement to dielectric measurements for several reasons. Sigma is highly sensitive to the salinity of the water phase, particularly at high salinities. Both sigma and dielectric measurements have a similar volume of investigation and so can be interpreted in a joint inversion. We developed a joint inversion of dielectric dispersion and neutron sigma measurements that solves for the water volume, water salinity, and tortuosity of the water phase. The addition of neutron sigma to the dielectric dispersion measurements extends the interpretation to high-salinity conditions, and enables the capability of quantifying water salinity in conditions where this was previously not possible. We illustrate the benefits of this joint inversion on some log examples. In a well drilled with water-based mud and fully invaded, the inversion provides a robust estimate of filtrate salinity even for highly saline filtrate and reduces the uncertainty on the estimated residual hydrocarbon. In the case of oil-based mud invasion, the method quantifies the salinity of the formation water even for moderately to highly saline water.
The efficiency of resistivity measurements for deriving water saturation in low salinity environments, spite of these measurement's depth of investigation, is a well identified issue in many areas in Colombia. In addition, when trying to evaluate movable hydrocarbons with multiarrays conductivity devices, the low contrast between formation water and filtrate salinities represents a limitation. While these formation evaluation issues are known in vertical wells, a common assumption on the uniformity in the petrophysical properties along horizontal well sections tends to underestimate its potential occurrence. In this context, several wells with a proper design above well identified oil-water contacts and/or in the better structural positions within the reservoirs, are unexpectedly producing high water volumes in many areas. In fact, preventing the high water production in horizontal wells and minimizing the risk of bypassing hydrocarbon accumulations in mature fields, are currently among the main concerns in several areas in Colombia. Given the new interest in some stratigraphic units that in the past were considered secondary targets, without much commercial importance, avoiding hydrocarbons underestimation is mandatory. The risk is based on the reservoir complexity and the current lack or reservoir characterization. Therefore, understanding the rock-pore fluids effect on petrophysical measurements and its impact on reservoir evaluation outputs, are among the main drivers in this work. In order to attempt reducing the challenges described above, the incorporation of resistivity and salinity-independent measurements helped on the reservoir heterogeneities detection with a relation to high water saturations and to find additional hydrocarbon bearing intervals in several stratigraphic intervals. Since oil and water have different dielectric properties, borehole images are sensitive to rock texture and organic carbon is related to hydrocarbons, dielectric propagation with image logs were acquired in horizontal-open hole, while inelastic/capture spectroscopy was incorporated for cased hole conditions, as an attempt to reduce those uncertainties. The dielectric propagation provides a continuous saturation profile of water, movable oil and tortuosity, meanwhile porosity spectrum and sorting provided information on rock quality. Its integration assisted in the movable-oil, high water-saturated and better reservoir quality zones detection, confirming the presence of important reservoir heterogeneities. The inelastic/capture spectroscopy also unveils reservoir heterogeneities, whereas a time lapse approach provides some clues on saturation changes and oil mobility. The present study demonstrates a level of reservoir heterogeneity not previously suspected, where the incorporation of advanced wireline technologies supported a better understanding on the relationship between fluids saturation, mobility and rock quality. Also, it helps to detect the presence of hydrocarbons in complex lithology and low resistivity zones. In terms or well completion design, these results open considerations for changing slotted liner-type completions to selective completions, for isolating high water and non-movable oil saturated intervals. It also provides information on reservoir matrix potential in tight/complex reservoirs. Even in mature fields, further understanding on the high water cut causes is being achieved, meanwhile encountering new hydrocarbon bearing zones not detected with conventional technologies. The reservoir evaluation approach proposed in the present paper, constitute a valuable tool that helps operators to improve the initial reservoir characterization and well completion strategies.
Important hydrocarbon accumulations occur in tight rocks in Colombian areas. Those tight reservoirs consist of clean sandstones with matrix porosities in the 3% to 4% range, relatively complex mineralogy and naturally fractured. The success of achieving a representative formation evaluation relies on obtaining accurate porosity, oil, gas, water saturations, natural fractures detection and good estimates on reservoir permeability. Resistivity-based approaches are difficult to apply since reservoir conductivity is not only influenced by fluid type, but also by salinity (typically low in our reservoirs), variable tortuosity (mostly high in the matrix and very low in fractures) and very high formation resistivity (above 1,000 ohms.m). In addition, a combination of low pores volumes and a matrix not properly assessed, leads to high errors in the porosity determination with conventional logs (in a 3 – 4 p.u. reservoir, the porosity error computation can be as high as 50%). Uncertainties in porosity estimates also translates to uncertainties during saturation assessment. Further challenges are found when attempting the saturation computation from resistivity logs. The tight sands are drilled with Oil Based Muds, creating a logging environment where only induction logs are possible. However, since the resistivity range in these rocks is above 1000 ohm.m range, the induction measurements are out of range in many of the target zones. Alternative formation evaluation methods for assessing fluids saturations, like magnetic resonance, sigma and carbon-oxygen logs cannot be applied below 10 porosity units; whereas dielectric measurements strongly depend on accurate porosity computations for deriving the hydrocarbon volume. Some of these reservoirs, are also deep (in the 17,000 ft range) and close to foothills, where wellbore stability issues and narrow mud weight windows used for drilling, translates into higher risks for open-hole logging via logging while drilling or wireline conveyance, all of it detrimental to data acquisition in open hole. Therefore, the case studies presented in this paper were assessed in cased hole conditions. In this paper, we present a solution that cover tight matrix and natural fractures assessment, at a level not previously achieved. At the tight matrix level, we carry out advanced nuclear spectroscopy with a new pulsed neutron device, that carry out simultaneous time domain and energy domain measurements. A new resistivity and salinity independent methodology for obtaining Gas saturation from a new measurement in the industry known as "Fast Neutron Cross Section" (FNXS), oil saturation from the total organic carbon (TOC) log, mineral volumes solved from formation elemental concentrations from energy domain, and porosity from hydrogen index obtained from the spectroscopy time domain, is presented. At natural fracture level, we make use of a Borehole Acoustic Reflection Service for deep natural fracture detection and spatial orientation analysis, done at cased hole conditions. The main advantages of the new method for obtaining porosity, mineralogy, salinity-independent hydrocarbon saturation in tight matrix and natural fracture assessment behind casing are: 1) conversion of dry weight total carbon to oil saturation, and fast neutron cross section to gas saturation done through a simultaneous inversion by solving matrix-porosity-fluids volumes into an elemental analysis, proven to work at low porosities rocks; 2) independency of salinity and reservoir tortuosity effects; 3) clay and/or other lithology effects is quantified and taken into account; 4) faster logging speeds and improve tools combinability in bigger holes while ensuring full reservoir assessment in small holes; 5) operational time reduction. The spectroscopy logging is carried out in single acquisition pass at 150 to 350-feet per hour (ft/hr), whereas sonic acquisition is done at 400 ft/hr in a single pass as well.
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