Abstract
In the same hydrodynamic system, because the densities of oil and gas are smaller than that of water, their pressure gradients are also smaller. Therefore, the pressure gradient can determine fluid properties. Based on seismic data and well logging data, this paper attempts to apply the equivalent medium theory to predict the pressure gradient, and then to identify fluids. Firstly, the upper and lower limits of bulk modulus and shear modulus of rocks can be obtained by using wellbore and well logging interpretation data. Secondly, based on the equivalent medium theory, the fluid velocity (when rock rigidity approaching zero) and the rock matrix velocity (when porosity approaching zero) are predicted. Thirdly, the predicted two types of velocity curves and the original acoustic curves are used for seismic inversion. Finally, according to the inversion results, the formation pressure and pressure gradient can be obtained by using the Fillippone pressure formula, and the hydrocarbon-bearing property of reservoirs can be determined according to the theoretical pressure gradients of different fluids. For offshore deep-water sandstone in an overseas block, when the frequency attributes for hydrocarbon detection cannot reflect hydrocarbons well, the fluid pressure gradient attribute is used to predict hydrocarbons, and the prediction coincidence rate reaches 70%.
Highlights
In recent years, hydrocarbon detection technologies play increasingly important roles in oil and gas exploration and development
Pre-stack hydrocarbon detection technologies are mainly AVO related technology which describes the amplitude variation with offset in trace gather, including AVO pre-stack inversion, AVO statistical analysis, AVO anisotropy analysis and AVO pore fluid identification, etc. [1,2,3,4,5] In addition to conventional seismic attributes, post-stack hydrocarbon detection technologies are mainly based on the fact that the existence of hydrocarbon will lead to amplitude variation in different frequency bands
The widely applied hydrocarbon detection technologies are mainly based on low frequency [6,7,8] and "low frequency resonance, high frequency attenuation" [9,10,11,12]
Summary
Hydrocarbon detection technologies play increasingly important roles in oil and gas exploration and development. [1,2,3,4,5] In addition to conventional seismic attributes, post-stack hydrocarbon detection technologies are mainly based on the fact that the existence of hydrocarbon will lead to amplitude variation in different frequency bands. The pre-stack AVO hydrocarbon detection technologies are more sensitive to natural gas, but they are subject to the quality of pre-stack gathers, they need the full combination of processing and interpretation of seismic data to obtain better results, so the workload is huge. What’s more, post-stack hydrocarbon detection technologies based on amplitude changes in different frequency bands are largely limited by seismic processing, as many links in processing will lead to changes in spectral characteristics
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have