# Methodology and Results of Detailed 3D Seismic Exploration in the Zhezkazgan Ore District
## 5 Conclusions  
Application of a 3D reflection seismic method with modern processing and interpretation capabilities allowed us to extend the instrumental scope used for copper sandstone mining of the Zhezkazgan area in Central Kazakhstan.  
The recommendations for drilling verification wells has been issued based on the analysis of structural maps and attribute maps and taking into account the geological modeling.  
At the stage of dynamic interpretation, the seismic facies attribute allowed us to analyze the alteration of the shape of seismic wavelets along target horizons linked to the lithofacies feature composition of ore-bearing horizons and parameters of ore targets.  
We assessed the possibility of using high-density wide-azimuth 3D seismic exploration along with numerous methodological and technical tools, including methods of seismic data processing, to analyze the geological section. The technologies for extracting data regarding both the structural forms of the targets being studied and the fine internal heterogeneity of the rocks comprising those targets (lithological heterogeneity, filtration-capacitive properties, fluid saturation, fracturing, etc.) are extensively applied for existing domestic and international methods of field seismic data processing and interpretation.  
Seismic exploration is characterized by high resolution, technological effectiveness, and an outstanding volume of data obtained. The use of modern geodata systems for precise positioning in the field, processing in time and depth domains, and geological interpretation of anomalous parts of the sections in relation to ore targets will assist identification of mineral deposits and prospective targets.  
The novelty of the study is its development of a technology for customized processing and interpretation of the results of high-resolution reflection seismic methods intended for stratiform ore objects in Zhezkazgan ore region. Attribute analysis of seismic wave fields (dynamic interpretation) was implemented to outline the ore-controlling horizons and ore bodies, their spatial positions, and determination of their properties and parameters. Seismic facial analysis using neural network algorithms was used to model the litho-facial patterns and rock properties. As a result, successful recommendations for new exploration well positions were developed.  
This methodology is recommended for testing ore objects of different genetic types.  
**Author Contributions:** Conceptualization, A.S. and S.I.; methodology, A.S., S.I. and D.T.; software, D.T.; validation, D.T. and R.T.; formal analysis, K.T. and R.T.; investigation, S.I. and K.T.; resources, A.S.; data curation, D.T.; writing--original draft preparation, A.S., K.T. and R.T.; writing--review and editing, S.I., D.T. and K.T.; visualization, R.T.; supervision, S.I.; project administration, A.S.; funding acquisition, S.I. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This paper was funded by Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan Grant NO. AP19680360--Modelling of stress and strain state of rock masses during development of ore deposits on the basis of complex geomechanical and geophysical studies.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** Data are contained within the article.  
**Conflicts of Interest:** The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.