CN  
Integrated static correction Low signal-to-noise ratio data processing Broadband processing technology Complex structure imaging Sequence stratigraphy study Quantitative interpretation of reservoir parameters Carbonate study Geochemical research
Carbonate rock
research
01Study on carbonate reservoir sedimentation

Geotarget has accumulated a set of mature technical technology for complex carbonate reservoirs, pre-salt lacustrine carbonate reservoirs. Determine reservoir lithology and combination through core slice observation and well logging analysis. Based on core slice observation, analyze the response characteristics of logging and seismic facies. Compare the types of sedimentary microfacies in different region through cross-well profiles to establish seismic facies model of different microfacies. According to characteristics of seismic facies, build digital seismic facies and analyze the distribution of seismic facies. Through the study of seismic facies and paleogeomorphology, analyze the development law and control factors of reefs, establish reservoir sedimentary model, and carry out the prediction of lithofacies and paleogeography (Figure 1).


Figure 1 Based on seismic facies and palaeogeomorphology, the reef development law and main control factors are analyzed, and the sedimentary reservoir development model is established

02Prediction technology of carbonate karst reservoir

For different types of carbonate reservoirs, such as karst reservoir and hydrothermal dolomite, a series of targeted technical methods have been formed through key problems study. Including Paleogeomorphology analysis technology based on the combination of pre-stack and post-stack attributes, residual thickness method, copying method; Microgeomorphology analysis technology based on curvature-trend surface analysis; karst reservoir prediction technology based on digital seismic facies; Karst reservoir prediction technology based on pre-stack and post-stack attributes; hydrothermal dolomite prediction technology based on elastic impedance inversion, carry out reliable prediction for different types of karst reservoirs (Figure 2).


Figure 2 Prediction results of karst reservoir in area of Sichuan Basin

03Prediction of fracture-cavity reservoir

Carry out fine structural analysis based on geometry, kinematics and genetic mechanism. Through discontinuity attributes detection such as post-stack frequency division coherence, AFE, ant body and curvature; Pre-stack anisotropic characteristics, AVAZ fracture prediction, elastic parameter difference; multi-attribute fracture modeling and other techniques, Comprehensive predict fracture development and distribution. Figure 3 is the result of fault solution description in area of northern Tarim. The fracture distribution is closely related to the characteristics of strike-slip fault zone and flower structure. Figure 4 shows the comparison between Dongwu tectonic stress field and predicted fractures distribution characteristics in area of the Sichuan Basin, the good consistency between them exists. Figure 5 demonstrates permeability prediction results of reef reservoir based on the development performance data, which is consistent with later drilling results.


Figure 3 Fault solution characterization results in area of north Tarim果


Figure 4 Comparison between the characteristics of the Dongwu tectonic stress field and the predicted fracture distribution in area of Sichuan Basin


Figure 5 Permeability prediction results based on fracture and pore reservoir prediction