晋城矿区煤与煤层气协调开发模式优化决策方法

Optimized decision method of coordinated development mode of coal and coalbed methane in Jincheng mining area

  • 摘要: 为进一步提高煤矿区煤与煤层气共采效率,需要对现阶段煤与煤层气协调开发模式进行优化决策,针对该问题,以晋城矿区为研究对象,基于层次规划思想提出了“采煤工作面→采区→矿井”3层级煤与煤层气协调开发模式优化决策思路;界定了采煤工作面煤与煤层气开发3区范围,采用非线性规划数学方法构建了采煤工作面煤与煤层气协调开发模式优化决策理论;基于3区时长控制关键因素建立了3区时长控制机制,明确了特殊阶段转换临界指标;基于优化决策目标内容,采用系统分析及归纳演绎法从安全性、经济性、资源效益性3方面构建了采煤工作面煤与煤层气协调开发效果评价指标体系及评价考核标准,对寺河煤矿东五盘区5301采煤工作面的煤与煤层气协调开发效果进行定量评价应用,验证了评价指标体系具有良好的现场适用性;基于煤层气开发技术和煤层气赋存条件,采用BP神经网络算法,建立了煤层气开采量预测模型,以寺河煤矿地面垂直井和井下顺层长钻孔为煤层气开采技术代表分析论证了其现场可操作性;以3区时长控制机制为纽带、以煤与煤层气开发全生命周期资源量守恒定律为本构模型、引入煤层气开采量预测模型,构建得到以3区时长为最基本待求解变量的采煤工作面煤与煤层气协调开发模式优化决策模型,决策模型以评价指标体系和特殊阶段转换临界指标作为求解约束条件,建立了可借助计算机编程语言实现的采煤工作面煤与煤层气协调开发模式优化决策流程,具体流程为“构建所有技术方案的3区时空关系制约方程并求解→通过协调开发效果评价确定每个技术方案的最佳开发方案→从所有技术方案的最佳开发方案中优选获得最佳开发方案”。研究表明:“以煤矿区煤与煤层气赋存条件、开采技术、现场实践数据为基础数据,以非线性规划、人工智能为建模方法,以计算机编程为具体实现手段”的煤与煤层气协调开发模式优化决策方法在理论与实践方面是可行的,该优化决策方法能够为解决晋城矿区煤层气开采与煤炭开采的时空矛盾问题提供指导意见。

     

    Abstract: In order to further improve the development efficiency of coal and coalbed methane,it is necessary to optimize the coordinated development mode of coal and coalbed methane.Aiming at this problem,taking Jincheng mining area as the research object,the optimized decision-making thinking of the coordinated development mode of coal and coalbed methane at three levels of“coal face→mining area→coal mine” was put forward based on the thought of hierarchical planning.The three zones of coal and coalbed methane development in coal face was defined. The decisionmaking theory of coordinated development of coal and coalbed methane in coal face was constructed by using nonlinear programming mathematical method.Based on the key control factors of time length in three zones,the control mechanism of time length in three zones was established,and the critical indicators of transition between special stages were clarified.Based on the content of optimized decision-making objective,from three aspects of safety,economy and resource efficiency,the evaluation index system and evaluation criteria for the coordinated development effect of coal and coalbed methane in coal face was constructed by using system analysis and induction deduction method,and the quantitative evaluation of the coordinated development effect of coal and coalbed methane in the coal face of No.5301 of the east five panel area of Sihe Coal Mine verified that the evaluation index system had a good field applicability.Based on coalbed methane development technology and coalbed methane occurrence conditions,the prediction model of coalbed methane production was established by using BP neural network algorithm,and the on-site operability of the prediction model was demonstrated by taking the surface vertical well and the long borehole along the seam as the technical representative of coalbed methane production in Sihe coal mine.Based on the time control mechanism of three zones,the conservation law of resources in the whole life cycle of coal and coalbed methane development as the constitutive model,and the prediction model of coalbed methane production,an optimization decision model of coordinated development mode of coal and coalbed methane in coal mining face with the time of three zones as the most basic variable to be solved was constructed,and the decision model was based on the evaluation index system and the critical indicators of transition between special stages as the solution constraint.On this basis,the optimized decision-making process of coordinated development mode of coal and coalbed methane in coal face was established,which could be realized by computer programming language,and the specific process was “build and solve space-time relationship constraint equation of all technical schemes of the three areas→determine the best development scheme of each technical scheme through coordinated development effect evaluation→optimize the best development scheme from the best development schemes of all technical schemes”.The research showed that the optimization method of the coordinated development mode of coal and coalbed methane was feasible in theory and practice,which took the coal and coalbed methane occurrence conditions,mining technology,field practice data as basic data,nonlinear planning,artificial intelligence as modeling method,and computer programming as specific implementation means,and the optimization method could provide a guidance for solving the time-space contradiction between coalbed methane mining and coal mining in Jincheng mining area.

     

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