Sonic-Magnetic Resonance Method: A Sourceless Porosity Evaluation in Gas-Bearing Reservoirs

2001 ◽  
Vol 4 (03) ◽  
pp. 209-220 ◽  
Author(s):  
Chanh Cao Minh ◽  
Greg Gubelin ◽  
Raghu Ramamoorthy ◽  
Stuart McGeoch

Summary For environmental reasons, there are times when the use of radioactive chemical sources for density and neutron logging is not possible. The inability to use these logging tools seriously affects porosity determination in gas-bearing reservoirs. Several tools, such as the nuclear magnetic resonance (NMR) tool, the sonic tool, or a minitron-based tool, determine porosity without using a radioactive source. These tools, however, are influenced by many effects and, when used alone, cannot deliver an accurate gas-independent porosity. A new methodology that combines sonic and NMR logs for improved porosity evaluation in gas-bearing reservoirs is proposed. The first variant of the method uses the sonic compressional transit time and the total NMR porosity (ft, NMR) to determine the total porosity, corrected for the gas effect, and the flushed-zone gas saturation. In this approach, a linear time-averaged equation corrected for compaction is applied to the sonic compressional log. The simplicity of the solution, much like the previously published DMR1 Density-Magnetic Resonance Interpretation Method, allows fast, easy computation and a complete error analysis to assess the quality of the results. In the second variant of the method, we show that the rigorous Gassman equation has a very similar response to the Raymer-Hunt-Gardner (RHG) equation for a water/gas mixture. This allows substitution of the complex Gassman equation by the much simpler RHG equation in the combined sonic-NMR (SMR) technique to estimate total porosity and flushed-zone gas saturation in gas-bearing formations. Both techniques are successfully applied to an offshore gas well in Australia. In this well, the porosity in the well-compacted sands is in the 20 to 25 p.u. range and the compaction factor is approximately 0.77. The sonic-magnetic resonance results compared favorably to the established density-magnetic resonance results and also to core data. In another offshore gas well from the North Sea, the porosity in the highly uncompacted sands is in the 35 to 40 p.u. range, and the compaction factor is around 1.85. Both SMR techniques were able to produce a very good porosity estimate comparable to that estimated from the density-neutron logs. Introduction Many authors have discussed the applications of sonic logs in gas-bearing formations.2–4 Stand-alone sonic techniques that use Wyllie's equation or the RHG equation are based on empirical observations of water-saturated samples that are extended to water/gas mixtures.5,6 Stand-alone sonic techniques that involve the Gassman theory are generally too complex for the petrophysicist to consider the effects of many sonic moduli parameters that must be determined to solve for porosity.7–9 Other authors have discussed the applications of NMR logs in gas-bearing formations.10,11 Porosity logs derived from NMR alone suffer from the low hydrogen index of the gas and the long T1 polarization time of the gas when the data is acquired with insufficient wait time. To provide a robust estimate of total porosity in gas-bearing formations, a combined density-NMR technique has been proposed. However, density logging uses a radioactive chemical source, and in certain sensitive environments, it is not used because the radioactive source might be lost in the hole. The sonic-magnetic resonance technique has been developed to provide an accurate porosity in these situations. This paper will demonstrate the following:The Gassman and RHG methods predict very similar sonic responses.Both Gassman and RHG sonic porosities are quite insensitive to fluid type, and hence to water saturation.The solution of the Gassman approach is more complex, requiring five parameters compared to only one for the RHG method (RHG is, therefore, more practical).Combining ft, NMR and RHG provides a good estimate of porosity in gas-bearing formations.Combining ft, NMR and a modified Wyllie scheme gives a simple analytic solution analogous to the DMR method.Gas-corrected porosity could be estimated at the wellsite by rescaling the sonic log. The ft, NMR/RHG and ft, NMR/Wyllie schemes are applied to two field examples. The results are compared to those from DMR, to core data in the first well, and to density/neutron analysis in the second well. Sonic Porosity Equations The three methods (in order of increasing complexity) used to compute sonic porosity from the compressional slowness are based on the Wyllie, RHG, and Gassman formulas. In this section, each approach is analyzed, and the predictions from each are compared with the others. Wyllie Method. The Wyllie equation is Equation 1 Eq. 1 can be rearranged intoEquation 2a withEquation 2b In these equations, f=porosity, ?tc=the sonic compressional slowness, ?tma=the matrix compressional slowness, ?tf=the fluid compressional slowness, and Cp=the compaction factor needed to correct the sonic porosity to the true porosity.

2000 ◽  
Vol 3 (06) ◽  
pp. 509-516 ◽  
Author(s):  
Chanh Cao Minh ◽  
Robert Freedman ◽  
Steve Crary ◽  
Darrel Cannon

Summary The recently introduced measurement of total porosity from nuclear magnetic resonance (NMR) tools can help to identify the hydrocarbon type and to improve the determination of formation total porosity (?t) and water saturation (Swt) in combination with other openhole logs. In shaly formations, porosities are difficult to estimate in the presence of hydrocarbons, especially those for gas and light oils. Water saturations are even more difficult to estimate because critical parameters such as clay cation exchange capacities/unit pore volume (QV), the formation factor (F) and formation water resistivity (Rw) might not be known. The latter quantities are essential inputs into the Waxman-Smits and dual-water model saturation equations. In the typical case of shaly gas-bearing formations, both the total porosity corrected for the gas effect and the gas saturation (Sxgas) in the flushed zone can be derived by combining total NMR porosity (?NMR) and density porosity (?density) Adding resistivity logs such as Rxo) and Rt helps to differentiate between gas and oil. Furthermore, the flushed zone water saturation (Sxot) computed from 1?Sxgas can be used in many ways. One procedure uses Sxot in conjunction with the Rxo saturation equation to determine QV or F. Another technique uses Sxot in conjunction with the saturation point (SP) to estimate QV when Rw is known. Yet, another method estimates QV directly from the NMR short relaxation time part of the T2 distribution and use Sxot in conjunction with SP to estimate Rw. The new interpretation procedure follows the sequential shaly sands approach: first, determine porosity, second, determine shaliness, and, third, determine saturation. The new procedure improves on the classical method by offering new ways to compute QV, F and Rw, The methodology is applied to a number of field examples. Introduction Recently, Freedman et al. have shown how to combine ?NMR and ?density to estimate the gas-corrected total porosity ?t and the flushed zone gas saturation in the density magnetic resonance (DMR) method.1 In this paper we build upon their work and integrate NMR logs with other openhole logs in new ways to improve formation evaluation. For hydrocarbon identification, two simple techniques that combine total NMR porosity, density, shallow and deep resistivity logs are shown in a field example. The techniques are simple enough to give a real-time answer when NMR is logged in combination with the above logs. For water saturation determination, total porosity corrected for the hydrocarbon effect and QV is essential. Classical shale sand log analysis first estimates porosity from the density neutron, then corrects for the hydrocarbon effect using Sxot from an Rxo tool in an iterative loop.2 The DMR method does not require any iteration since the linear forms of the density and NMR response equations provide an exact analytical solution of the flushed zone total porosity and saturation. Sxot can then be used in conjunction with an Rxo tool to compute other petrophysical parameters such as QV or F. On the other hand, quantitative use of the SP log in shale sand log analysis was demonstrated by Smits3 in 1968. Integrating SP with NMR and other openhole logs allows the estimation Rw or QV in a two-step SP inversion procedure.4 Both the above techniques to determine QV are applied to a field example. In a second field example, NMR and SP logs are used to compute varying Rw in a fresh water example using continuous QV estimated directly from the NMR short T2 time distribution. The new interpretation methodology is readily extendable to complex lithology, although a multitools solver approach such as the ELAN™ processing method might be preferred.5 (ELAN is a trademark of Schlumberger.) Quicklook Hydrocarbon Identification Gas identification with the DMR method is unambiguous when the deficit between density porosity and total NMR porosity is large [e.g., 6 pore units (p.u.) or more]. When the deficit is not large (a few p.u.), one is not sure whether light oil is present or some gas remains in the pore space after flushing. Because the DMR results depend on the input (gas or light oil), of hydrocarbon type whereas the shallow resistivity does not (it only sees the water phase), it is possible to determine the hydrocarbon type by simply comparing the DMR results with the Rxo results. Rxo?Rt Method A simple method is to compare the flushed zone water saturation determined by the DMR method with the flushed zone water saturation determined from the Rxo tool. If the two saturations agree (meaning that the DMR gas hypothesis is correct) and the Rt tool indicates hydrocarbon, then the hydrocarbon is gas. If the two saturations disagree (meaning that the DMR gas hypothesis is incorrect) and the Rt tool indicates hydrocarbon, then the hydrocarbon is light oil. In the zones where Swt<0.7 (a given saturation cutoff), hydrocarbon is present, and if Sxot, DMR-gas? Sxot, Rxo, then gas or light oil is present.


2015 ◽  
Vol 8 (1) ◽  
pp. 149-154 ◽  
Author(s):  
Jun Gu ◽  
Ju Huang ◽  
Su Zhang ◽  
Xinzhong Hu ◽  
Hangxiang Gao ◽  
...  

The purpose of this study is to improve the cementing quality of shale gas well by mud cake solidification, as well as to provide the better annular isolation for its hydraulic fracturing development. Based on the self-established experimental method and API RP 10, the effects of mud cake solidifiers on the shear strength at cement-interlayer interface (SSCFI) were evaluated. After curing for 3, 7, 15 and 30 days, SSCFI was remarkably improved by 629.03%, 222.37%, 241.43% and 273.33%, respectively, compared with the original technology. Moreover, the compatibility among the mud cake solidifier, cement slurry, drilling fluid and prepad fluid meets the safety requirements for cementing operation. An application example in a shale gas well (Yuanye HF-1) was also presented. The high quality ratio of cementing quality is 93.49% of the whole well section, while the unqualified ratio of adjacent well (Yuanba 9) is 84.46%. Moreover, the cementing quality of six gas-bearing reservoirs is high. This paper also discussed the mechanism of mud cake solidification. The reactions among H3AlO42- and H3SiO4- from alkali-dissolved reaction, Na+ and H3SiO4- in the mud cake solidifiers, and Ca2+ and OH- from cement slurry form the natrolite and calcium silicate hydrate (C-S-H) with different silicate-calcium ratio. Based on these, SSCFI and cementing quality were improved.


2011 ◽  
Author(s):  
Victor Gerardo Vallejo ◽  
Aciel Olivares ◽  
Pablo Crespo Hdez ◽  
Eduardo R. Roman ◽  
Claudio Rogerio Tigre Maia ◽  
...  

2014 ◽  
Vol 884-885 ◽  
pp. 104-107
Author(s):  
Zhi Jun Li ◽  
Ji Qiang Li ◽  
Wen De Yan

For the water-sweeping gas reservoir, especially when the water-body is active, water invasion can play positive roles in maintaining formation pressure and keeping the gas well production. But when the water-cone break through and towards the well bottom, suffers from the influencing of gas-water two phase flows, permeability of gas phase decrease sharply and will have a serious impact on the production performance of the gas well. Moreover, the time when the water-cone breakthrough will directly affect the final recovery of the gas wells, therefore, the numerical simulation method is used to conduct the research on the key influencing factors of water-invasion performance for the gas wells with bottom-water, which is the basis of the mechanical model for the typical gas wells with bottom-water. It indicate that as followings: (1) the key influencing factors of water-invasion performance for the gas wells with bottom-water are those, such as the open degree of the gas beds, well gas production and the amount of Kv/Kh value; and (2) the barrier will be in charge of great significance on the water-controlling for the bottom water gas wells, and its radius is the key factor to affect water-invasion performance for the bottom water gas wells where the barriers exist nearby.


2020 ◽  
Vol 10 (16) ◽  
pp. 5699
Author(s):  
Songtao Yu ◽  
Hongwei Deng ◽  
Guanglin Tian ◽  
Junren Deng

Microscopic characteristics greatly affect mechanical and physical properties as they exert vital impact on the stability and durability of materials. In this paper, widely distributed sandstone was chosen as the research object. Sandstone was treated with a coupled effect of Freeze–Thaw (F–T) weathering and acid solution, where freeze–thaw cycles were set as 0, 10, 20, 30 and 40 cycles, and the pH of the acid solution were set as 2.8, 4.2, 5.6 and 7.0, respectively. Then, nuclear magnetic resonance was applied to measure the microscopic characteristics of sandstone, then porosity, pore size distribution and permeability before the fractal dimensions were obtained and calculated. Results show that porosity increases when F–T cycles increase, and its increase grows with the pH of acid solution decrease during the first 10 F–T cycles. Macro porosity, meso porosity and micro porosity account for the largest, second largest and smallest ratio of porosity growth. Meso porosity, micro porosity and macro porosity account for the largest, second largest and smallest ratio of total porosity. Permeability increases obviously with F–T cycle increase, while acid erosion exerts little influence on permeability increment overall. Fractal dimensions of meso pores and macro pores increase with F–T cycle increase overall, and they increase with pH decrease overall. Porosity has strong exponentially correlation with permeability. Fractal dimensions of meso pores and macro pores have good linearly correlation with permeability, while correlation between porosity and fractal dimensions are not that obvious.


2015 ◽  
Author(s):  
Y. Nasir ◽  
M. B. Adamu ◽  
A. M. Auwalu ◽  
A. D. I. Sulaiman
Keyword(s):  
Gas Well ◽  

2013 ◽  
Vol 650 ◽  
pp. 664-666
Author(s):  
Lei Zhang ◽  
Guo Ming Liu

A12 oil and gas reservoirs in L Oilfield Carboniferous carbonate rocks of oil and gas bearing system, saturated with the gas cap and edge water and bottom water reservoir. The A12 oil and gas reservoir structure the relief of the dome-shaped anticline, oil, gas and water distribution controlled by structure, the gas interface -2785 meters above sea level, the oil-water interface altitude range -2940 ~-2980m, average-2960m. Average reservoir thickness of 23m, with a certain amount of dissolved gas drive and gas cap gas drive energy, but not very active edge and bottom water, gas cap drive index.


SPE Journal ◽  
2010 ◽  
Vol 16 (02) ◽  
pp. 223-238 ◽  
Author(s):  
Chanh Cao Minh ◽  
Padmanabhan Sundararaman

Summary We discuss the use of nuclear-magnetic-resonance (NMR) logging in the petrophysical evaluation of thin sand/shale laminations. NMR helps detect thin beds, determine fluid type, establish the hydrocarbon type and volume if hydrocarbon is present, and, finally, determine the permeability of the sand layers (as opposed to that of the sand/shale system). Experiments were conducted on samples of 100% sand, 100% clay, and sand/clay layers with an NMR-logging tool at surface to verify the characteristic T2 bimodal relaxation distribution often observed in NMR logs that are acquired in thin beds. From the bimodal distribution, it is often possible to determine a cutoff to separate the productive sand layers from the shale layers and, with it, the porosity fraction of each component. Subsequently, the sand fraction, or net/gross ratio, can be estimated assuming that the 100%-sand porosity is known. Because gas, oil, and water have different NMR properties, fluid-typing techniques such as 2D NMR offer useful insights into the fluid type and properties in thin-layer sands. Because the laminations thickness is often less than the antenna aperture, the estimated permeability of the sand/ shale system will undercall the true permeability of the sand layers only. In this case, their permeability can be estimated quickly from Darcy's fluid-flow model. We show examples of thin sand/shale laminations that are oil-bearing and gas-bearing. In each case, the NMR detection was verified against borehole-imaging logs, and the fluid type in the sands was determined from multidimensional NMR analysis. The derived hydrocarbon volume was then compared with the results estimated from a triaxial induction tool. Permeability of the sand layers was also computed and compared to that of nearby thick sands. Core data in one well was used to validate NMR detection, porosity, permeability, and net sand thickness.


2019 ◽  
Vol 2 (1) ◽  
pp. 133-140
Author(s):  
Dmitry Novikov

The results presented in the work were obtained in the studies of the features and zonality of water-dissolved gases within the boundaries of the oil-and-gas bearing sediments of the Nadym-Taz interfluve. Methane-containing waters with total gas saturation from 0.3 to 5.7 l/l and average CH4 content from 95.5 vol.% in the Aptian-Albian-Senomanian complex to 83.3 vol.% in the Lower and Middle Jurassic complex are developed in the region. With an increase in the depth, an increase in the content of homologues ΣHС (C2H6, C3H8, C4H10, C5H12 and C6H14) occurs from 1.34 vol.% in the Aptian_Albian-Senomanian complex to 11.67 vol.% in the Lower and Middle Jurassic complex. The maximal concentrations of ΣHС up to 30 vol.% were revealed in the lower part of the Neocomian complex in the marginal waters of oil deposits. An increase in CO2 content and a regular decrease in the ΣHС/N2 ratio from 96 in the Aptian-Albian-Senomanian complex to 52 in the Lower and Middle Jurassic complex are observed with an increase in the depth.


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