A computer readable storage medium, wherein the computer readable storage medium stores a computer program which causes a processor to perform the following operations when being executed: establishing (11, 22) a stratum rock component model according to core analysis data and geological conditions of a stratum to be studied, and determining well logging curves participating in the determination of the model; characterized in that determining (12, 24) an expression of the well logging response equation corresponding to the well logging curves participating in the determination of the model; wherein the well logging response equation is: t ci = f i v → wherein t ci denotes a value of the well logging response equation; v denotes the content of the mineral and fluid component in the stratum to be studied; f i ( v) denotes an expression form of the well logging response equation, including the variables, constants, operators and parameter symbols of stratum mineral and fluid component; parsing, recording and storing (13, 25) the expression of the well logging response equation; establishing a target function of an optimization problem according to the parsed response equation expression, wherein the target function of the optimization problem comprises is: v * = arg min F v → F v → = 1 2 ∑ i = 1 n t ci − t mi ⋅ w i 2 wherein F ( v) denotes the target function; v * denotes a value that makes the target function to be a minimum value; t ci denotes a value of response equation each well logging method determined according to the well logging response equation; t mi denotes an actual well logging measured response value; w i denotes a weight coefficient of the well logging curve in an optimization model; and n denotes the number of well logging curves solved, and solving (14, 27) the target function through an iteration algorithm to determine a component content of the stratum to be studied in order to determine stratum reservoir parameters such as porosity and saturation for reservoir hydrocarbon predictions that are important for oil and gas exploration and development. establishing (11, 22) a stratum rock component model according to core analysis data and geological conditions of a stratum to be studied, and determining well logging curves participating in the determination of the model; characterized in that determining (12, 24) an expression of the well logging response equation corresponding to the well logging curves participating in the determination of the model; wherein the well logging response equation is: t ci = f i v → wherein t ci denotes a value of the well logging response equation; v denotes the content of the mineral and fluid component in the stratum to be studied; f i ( v) denotes an expression form of the well logging response equation, including the variables, constants, operators and parameter symbols of stratum mineral and fluid component; parsing, recording and storing (13, 25) the expression of the well logging response equation; establishing a target function of an optimization problem according to the parsed response equation expression, wherein t ci denotes a value of the well logging response equation; v denotes the content of the mineral and fluid component in the stratum to be studied; f i ( v) denotes an expression form of the well logging response equation, including the variables, constants, operators and parameter symbols of stratum mineral and fluid component; parsing, recording and storing (13, 25) the expression of the well logging response equation; establishing a target function of an optimization problem according to the parsed response equation expression, wherein the target function of the optimization problem comprises is: v * = arg min F v → F v → = 1 2 ∑ i = 1 n t ci − t mi ⋅ w i 2 wherein F ( v) denotes the target function; v * denotes a value that makes the target function to be a minimum value; t ci denotes a value of response equation each well logging method determined according to the well logging response equation; t mi denotes an actual well logging measured response value; w i denotes a weight coefficient of the well logging curve in an optimization model; and n denotes the number of well logging curves solved, and solving (14, 27) the target function through an iteration algorithm to determine a component content of the stratum to be studied in order to determine stratum reservoir parameters such as porosity and saturation for reservoir hydrocarbon predictions that are important for oil and gas exploration and development. wherein F ( v) denotes the target function; v * denotes a value that makes the target function to be a minimum value; t ci denotes a value of response equation each well logging method determined according to the well logging response equation; t mi denotes an actual well logging measured response value; w i denotes a weight coefficient of the well logging curve in an optimization model; and n denotes the number of well logging curves solved, and solving (14, 27) the target function through an iteration algorithm to determine a component content of the stratum to be studied in order to determine stratum reservoir parameters such as porosity and saturation for reservoir hydrocarbon predictions that are important for oil and gas exploration and development.